{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T16:44:08Z","timestamp":1776876248180,"version":"3.51.2"},"reference-count":242,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T00:00:00Z","timestamp":1739750400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>The convergence of cloud computing and the Industrial Internet of Things (IIoT) has significantly transformed industrial operations, enabling intelligent, scalable, and efficient systems. This survey provides a comprehensive analysis of the role cloud computing plays in IIoT ecosystems, focusing on its architectural frameworks, service models, and application domains. By leveraging centralized, edge, and hybrid cloud architectures, IIoT systems achieve enhanced real-time processing capabilities, streamlined data management, and optimized resource allocation. Moreover, this study delves into integrating artificial intelligence (AI) and machine learning (ML) in cloud platforms to facilitate predictive analytics, anomaly detection, and operational intelligence in IIoT environments. Security challenges, including secure device-to-cloud communication and privacy concerns, are addressed with innovative solutions like blockchain and AI-powered intrusion detection systems. Future trends, such as adopting 5G, serverless computing, and AI-driven adaptive services, are also discussed, offering a forward-looking perspective on this rapidly evolving domain. Finally, this survey contributes to a well-rounded understanding of cloud computing\u2019s multifaceted aspects and highlights its pivotal role in driving the next generation of industrial innovation and operational excellence.<\/jats:p>","DOI":"10.3390\/bdcc9020044","type":"journal-article","created":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T10:26:12Z","timestamp":1739787972000},"page":"44","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["A Survey on the Applications of Cloud Computing in the Industrial Internet of Things"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5647-2929","authenticated-orcid":false,"given":"Elias","family":"Dritsas","sequence":"first","affiliation":[{"name":"Industrial Systems Institute (ISI), Athena Research and Innovation Center, 26504 Patras, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7793-0407","authenticated-orcid":false,"given":"Maria","family":"Trigka","sequence":"additional","affiliation":[{"name":"Industrial Systems Institute (ISI), Athena Research and Innovation Center, 26504 Patras, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1950036","DOI":"10.1142\/S1363919619500361","article-title":"Tackling hurdles to digital transformation\u2014The role of competencies for successful industrial internet of things (IIoT) implementation","volume":"23","author":"Butschan","year":"2019","journal-title":"Int. J. Innov. Manag."},{"key":"ref_2","first-page":"82","article-title":"A Hybrid IIoT-based System for Real-time Monitoring and Control of Industrial Processes","volume":"11","author":"Bhandari","year":"2020","journal-title":"J. Algebr. Stat."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Ferrari, P., Sisinni, E., Depari, A., Flammini, A., Rinaldi, S., Bellagente, P., and Pasetti, M. (2020). On the performance of cloud services and databases for industrial IoT scalable applications. Electronics, 9.","DOI":"10.3390\/electronics9091435"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"6528","DOI":"10.1109\/ACCESS.2022.3141977","article-title":"An industrial cloud-based IoT system for real-time monitoring and controlling of wastewater","volume":"10","author":"Salem","year":"2022","journal-title":"IEEE Access"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"127294","DOI":"10.1109\/ACCESS.2024.3454812","article-title":"Enabling Industrial Internet of Things by Leveraging Distributed Edge-to-Cloud Computing: Challenges and Opportunities","volume":"12","author":"Jamil","year":"2024","journal-title":"IEEE Access"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"117354","DOI":"10.1109\/ACCESS.2020.3004711","article-title":"A secure industrial internet of things (IIoT) framework for resource management in smart manufacturing","volume":"8","author":"Abuhasel","year":"2020","journal-title":"IEEE Access"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Senthilkumar, P., and Rajesh, K. (2021). Design of a model based engineering deep learning scheduler in cloud computing environment using Industrial Internet of Things (IIOT). J. Ambient. Intell. Humaniz. Comput.","DOI":"10.1007\/s12652-020-02862-7"},{"key":"ref_8","unstructured":"Behrendt, A., De Boer, E., Kasah, T., Koerber, B., Mohr, N., and Richter, G. (2021). Leveraging Industrial IoT and Advanced Technologies for Digital Transformation, McKinsey & Company."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1461","DOI":"10.1007\/s00170-021-08436-x","article-title":"From IoT-based cloud manufacturing approach to intelligent additive manufacturing: Industrial Internet of Things\u2014An overview","volume":"119","author":"Haghnegahdar","year":"2022","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"6001","DOI":"10.1016\/j.aej.2021.11.023","article-title":"A survey on blockchain for industrial internet of things","volume":"61","author":"Kumar","year":"2022","journal-title":"Alex. Eng. J."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1109\/COMST.2022.3141490","article-title":"A comprehensive survey on blockchain in industrial internet of things: Motivations, research progresses, and future challenges","volume":"24","author":"Huo","year":"2022","journal-title":"IEEE Commun. Surv. Tutorials"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"7142048","DOI":"10.1155\/2021\/7142048","article-title":"Blockchain-based internet of things and industrial IoT: A comprehensive survey","volume":"2021","author":"Dwivedi","year":"2021","journal-title":"Secur. Commun. Netw."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"78238","DOI":"10.1109\/ACCESS.2018.2884906","article-title":"A survey on industrial Internet of Things: A cyber-physical systems perspective","volume":"6","author":"Xu","year":"2018","journal-title":"IEEE Access"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2462","DOI":"10.1109\/COMST.2020.3009103","article-title":"Edge computing in industrial internet of things: Architecture, advances and challenges","volume":"22","author":"Qiu","year":"2020","journal-title":"IEEE Commun. Surv. Tutorials"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"e4337","DOI":"10.1002\/ett.4337","article-title":"Blockchain technology for the industrial Internet of Things: A comprehensive survey on security challenges, architectures, applications, and future research directions","volume":"32","author":"Latif","year":"2021","journal-title":"Trans. Emerg. Telecommun. Technol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"e12868","DOI":"10.1016\/j.heliyon.2023.e12868","article-title":"Analysis of architectures implemented for IIoT","volume":"9","author":"Sanz","year":"2023","journal-title":"Heliyon"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2316","DOI":"10.1109\/TII.2020.2998105","article-title":"A secure fog-based architecture for industrial Internet of Things and industry 4.0","volume":"17","author":"Sengupta","year":"2020","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"49355","DOI":"10.1109\/ACCESS.2021.3069137","article-title":"Edge intelligence for data handling and predictive maintenance in IIOT","volume":"9","author":"Hafeez","year":"2021","journal-title":"IEEE Access"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2300","DOI":"10.1109\/JIOT.2020.3025916","article-title":"Convergence of blockchain and edge computing for secure and scalable IIoT critical infrastructures in industry 4.0","volume":"8","author":"Wu","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"884","DOI":"10.1016\/j.future.2020.06.032","article-title":"IoT embedded cloud-based intelligent power quality monitoring system for industrial drive application","volume":"112","author":"Singh","year":"2020","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"106582","DOI":"10.1016\/j.asoc.2020.106582","article-title":"Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend","volume":"96","author":"Jauro","year":"2020","journal-title":"Appl. Soft Comput."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"101967","DOI":"10.1016\/j.seta.2022.101967","article-title":"Deep machine learning-based power usage effectiveness prediction for sustainable cloud infrastructures","volume":"52","author":"Ounifi","year":"2022","journal-title":"Sustain. Energy Technol. Assessments"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2802","DOI":"10.1109\/TNSE.2022.3191601","article-title":"Blockchain and deep learning for secure communication in digital twin empowered industrial IoT network","volume":"10","author":"Kumar","year":"2022","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s44196-023-00241-6","article-title":"An efficient fault diagnosis framework for digital twins using optimized machine learning models in smart industrial control systems","volume":"16","author":"Zayed","year":"2023","journal-title":"Int. J. Comput. Intell. Syst."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1908","DOI":"10.1109\/JIOT.2021.3138691","article-title":"A fog-based architecture for latency-sensitive monitoring applications in industrial internet of things","volume":"10","author":"Benomar","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2982","DOI":"10.1109\/TSC.2021.3074188","article-title":"Resource management for latency-sensitive IoT applications with satisfiability","volume":"15","author":"Avasalcai","year":"2021","journal-title":"IEEE Trans. Serv. Comput."},{"key":"ref_27","first-page":"859","article-title":"A low-latency and interoperable industrial Internet of Things architecture for manufacturing systems","volume":"Volume 1","author":"Wang","year":"2020","journal-title":"Proceedings of the 2020 IEEE 18th International Conference on Industrial Informatics (INDIN)"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Khan, S.I., Kaur, C., Al Ansari, M.S., Muda, I., Borda, R.F.C., and Bala, B.K. (2023). Implementation of cloud based IoT technology in manufacturing industry for smart control of manufacturing process. Int. J. Interact. Des. Manuf. (IJIDeM).","DOI":"10.1007\/s12008-023-01366-w"},{"key":"ref_29","unstructured":"Varghese, B., Wang, N., Li, J., and Nikolopoulos, D.S. (2018). Edge-as-a-service: Towards distributed cloud architectures. Parallel Computing Is Everywhere, IOS Press."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1152","DOI":"10.1007\/s12083-016-0468-x","article-title":"Towards an efficient distributed cloud computing architecture","volume":"10","author":"Khethavath","year":"2017","journal-title":"Peer Netw. Appl."},{"key":"ref_31","first-page":"1695","article-title":"The Shift Towards Distributed Data Architectures in Cloud Environments","volume":"11","author":"Nookala","year":"2022","journal-title":"Innov. Comput. Sci. J."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1109\/MCOM.2018.1700822","article-title":"SoftEdgeNet: SDN based energy-efficient distributed network architecture for edge computing","volume":"56","author":"Sharma","year":"2018","journal-title":"IEEE Commun. Mag."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Lee, E.H., Choi, Y.H., and Kim, J.H. (2019). Real-time integrated operation for urban streams with centralized and decentralized reservoirs to improve system resilience. Water, 11.","DOI":"10.3390\/w11010069"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"7881","DOI":"10.1109\/TWC.2022.3162722","article-title":"Two-timescale resource allocation for automated networks in IIoT","volume":"21","author":"He","year":"2022","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1109\/TGCN.2018.2885443","article-title":"Centralized and distributed architectures for energy and delay efficient fog network-based edge computing services","volume":"3","author":"Bozorgchenani","year":"2018","journal-title":"IEEE Trans. Green Commun. Netw."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Vermesan, O., John, R., Pype, P., Daalderop, G., Ashwathnarayan, M., Bahr, R., Karlsen, T., and Sand, H.E. (2021). Internet of vehicles\u2013system of systems distributed intelligence for mobility applications. Intelligent Technologies for Internet of Vehicles, Springer.","DOI":"10.1007\/978-3-030-76493-7_4"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"63422","DOI":"10.1109\/ACCESS.2022.3182211","article-title":"Fault-tolerance in the scope of cloud computing","volume":"10","author":"Rehman","year":"2022","journal-title":"IEEE Access"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3688","DOI":"10.1109\/JSAC.2021.3118352","article-title":"Optimizing federated learning in distributed industrial IoT: A multi-agent approach","volume":"39","author":"Zhang","year":"2021","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1109\/MCE.2022.3192132","article-title":"Distributed cloud computing: Architecture, enabling technologies, and open challenges","volume":"12","author":"Pham","year":"2022","journal-title":"IEEE Consum. Electron. Mag."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1145\/2766330.2766337","article-title":"Distributed cloud computing: Applications, status quo, and challenges","volume":"45","author":"Coady","year":"2015","journal-title":"ACM SIGCOMM Comput. Commun. Rev."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1109\/TCC.2021.3103935","article-title":"HybCon: A scalable SDN-based distributed cloud architecture for 5G networks","volume":"11","author":"Chekired","year":"2021","journal-title":"IEEE Trans. Cloud Comput."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"3262","DOI":"10.21105\/joss.03262","article-title":"DataLad: Distributed system for joint management of code, data, and their relationship","volume":"6","author":"Halchenko","year":"2021","journal-title":"J. Open Source Softw."},{"key":"ref_43","first-page":"432","article-title":"AI-Powered Workload Balancing Algorithms for Distributed Database Systems","volume":"12","author":"Gadde","year":"2021","journal-title":"Rev. Intel. Artif. Med."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Yangui, S. (2020). A panorama of cloud platforms for iot applications across industries. Sensors, 20.","DOI":"10.3390\/s20092701"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Saraswat, M., and Tripathi, R. (2020, January 4\u20135). Cloud computing: Analysis of top 5 CSPs in SaaS, PaaS and IaaS platforms. Proceedings of the 9th International Conference System Modeling and Advancement in Research Trends (SMART), Moradabad, India.","DOI":"10.1109\/SMART50582.2020.9337157"},{"key":"ref_46","first-page":"60","article-title":"Cloud computing: A study of infrastructure as a service (IAAS)","volume":"2","author":"Bhardwaj","year":"2010","journal-title":"Int. J. Eng. Inf. Technol."},{"key":"ref_47","first-page":"1409","article-title":"A brief analysis of cloud computing Infrastructure as a Service (IaaS)","volume":"6","author":"Suliman","year":"2021","journal-title":"Int. J. Innov. Sci. Res. Technol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.jer.2023.10.031","article-title":"Strategies for efficient resource management in federated cloud environments supporting Infrastructure as a Service (IaaS)","volume":"12","author":"Samha","year":"2024","journal-title":"J. Eng. Res."},{"key":"ref_49","unstructured":"Yasrab, R. (2018). Platform-as-a-service (paas): The next hype of cloud computing. arXiv."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Isharufe, W., Jaafar, F., and Butakov, S. (2020, January 12\u201313). Study of security issues in platform-as-a-service (PaaS) cloud model. Proceedings of the 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), Istanbul, Turkey.","DOI":"10.1109\/ICECCE49384.2020.9179414"},{"key":"ref_51","first-page":"29","article-title":"The platform as a service (paas) cloud model: Opportunity or complexity for a web developer?","volume":"81","author":"Pastore","year":"2013","journal-title":"Int. J. Comput. Appl."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11432-013-5050-z","article-title":"Software-as-a-service (SaaS): Perspectives and challenges","volume":"57","author":"Tsai","year":"2014","journal-title":"Sci. China Inf. Sci."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Rumale, A.S., and Chaudhari, D.N. (2017, January 22\u201324). Cloud computing: Software as a service. Proceedings of the 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT), Coimbatore, India.","DOI":"10.1109\/ICECCT.2017.8117817"},{"key":"ref_54","first-page":"1","article-title":"Cloud Computing Revolution: Beyond Virtualization Scalability, Flexibility, and Efficiency in the Cloud Era","volume":"4","author":"Fernandez","year":"2023","journal-title":"MZ Comput. J."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Mathur, P. (2024). Cloud computing infrastructure, platforms, and software for scientific research. High Performance Computing in Biomimetics: Modeling, Architecture and Applications, Springer.","DOI":"10.1007\/978-981-97-1017-1_4"},{"key":"ref_56","first-page":"17","article-title":"Industrial Application Architecture IoT and protocols AMQP, MQTT, JMS, REST, CoAP, XMPP, DDS","volume":"7","author":"Seleznev","year":"2019","journal-title":"Int. J. Open Inf. Technol."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.neucom.2021.07.101","article-title":"Secure data exchange in Industrial Internet of Things","volume":"484","author":"Sukiasyan","year":"2022","journal-title":"Neurocomputing"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"7225","DOI":"10.1109\/TII.2021.3067026","article-title":"Energy-efficient industrial Internet of Things: Overview and open issues","volume":"17","author":"Mao","year":"2021","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Akasiadis, C., Pitsilis, V., and Spyropoulos, C.D. (2019). A multi-protocol IoT platform based on open-source frameworks. Sensors, 19.","DOI":"10.3390\/s19194217"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Jaloudi, S. (2019). Communication protocols of an industrial internet of things environment: A comparative study. Future Internet, 11.","DOI":"10.3390\/fi11030066"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Zhao, Q. (2020). Presents the technology, protocols, and new innovations in Industrial Internet of Things (IIoT). Internet of Things for Industry 4.0: Design, Challenges and Solutions, Springer.","DOI":"10.1007\/978-3-030-32530-5_3"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Nalbant, K.G., Almutairi, S., Alshehri, A.H., Kemal, H., Alsuhibany, S.A., and Choi, B.J. (2024). An efficient algorithm for data transmission certainty in IIoT sensing network: A priority-based approach. PLoS ONE, 19.","DOI":"10.1371\/journal.pone.0305092"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Cavalieri, S. (2021). A proposal to improve interoperability in the industry 4.0 based on the open platform communications unified architecture standard. Computers, 10.","DOI":"10.3390\/computers10060070"},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Shin, D.H., Kim, G.Y., and Euom, I.C. (2022). Vulnerabilities of the open platform communication unified architecture protocol in industrial Internet of Things operation. Sensors, 22.","DOI":"10.3390\/s22176575"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"100441","DOI":"10.1016\/j.iot.2021.100441","article-title":"OPIIoT: Design and implementation of an open communication protocol platform for industrial internet of things","volume":"16","author":"Hsiao","year":"2021","journal-title":"Internet Things"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"169659","DOI":"10.1109\/ACCESS.2024.3466186","article-title":"Performance Optimization of Software-Defined Industrial Internet-of-Things (SD-IIoT)","volume":"12","author":"Ali","year":"2024","journal-title":"IEEE Access"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"11713","DOI":"10.1109\/JIOT.2020.2999510","article-title":"Efficient and privacy-preserving authentication protocol for heterogeneous systems in IIoT","volume":"7","author":"Xiong","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"53997","DOI":"10.1109\/ACCESS.2020.2980392","article-title":"Software defined network-based management for enhanced 5G network services","volume":"8","author":"Tadros","year":"2020","journal-title":"IEEE Access"},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Beshley, M., Klymash, M., Scherm, I., Beshley, H., and Shkoropad, Y. (2022). Emerging network technologies for digital transformation: 5G\/6G, IoT, SDN\/IBN, cloud computing, and blockchain. lnternational Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, Springer.","DOI":"10.1007\/978-3-031-24963-1_1"},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Papavassiliou, S. (2020). Software defined networking (SDN) and network function virtualization (NFV). Future Internet, 12.","DOI":"10.3390\/fi12010007"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"917","DOI":"10.1007\/s00607-021-00925-x","article-title":"Quality of service provisioning in network function virtualization: A survey","volume":"103","author":"Mostafavi","year":"2021","journal-title":"Computing"},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Erbati, M.M., and Schiele, G. (2021, January 9\u201311). Application-and reliability-aware service function chaining to support low-latency applications in an NFV-enabled network. Proceedings of the Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), Virtual.","DOI":"10.1109\/NFV-SDN53031.2021.9665118"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"1166","DOI":"10.1109\/JPROC.2019.2905423","article-title":"Wireless network design for emerging IIoT applications: Reference framework and use cases","volume":"107","author":"Liu","year":"2019","journal-title":"Proc. IEEE"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"e4202","DOI":"10.1002\/ett.4202","article-title":"Public key encryption with equality test for Industrial Internet of Things system in cloud computing","volume":"33","author":"Deverajan","year":"2022","journal-title":"Trans. Emerg. Telecommun. Technol."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Kumar, S., Lalitha Kameswari, Y., Koteswara Rao, S., Moram, V., and Shital, S. (2024). Neural Networks for Cloud-Based Industrial Internet of Things. Smart Computing Techniques in Industrial IoT, Springer.","DOI":"10.1007\/978-981-97-7494-4_3"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"9173","DOI":"10.1109\/TII.2022.3179733","article-title":"A scalable two-layer blockchain system for distributed multicloud storage in IIoT","volume":"18","author":"Xu","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1007\/s12525-021-00520-0","article-title":"IIoT platforms\u2019 architectural features\u2013a taxonomy and five prevalent archetypes","volume":"32","author":"Arnold","year":"2022","journal-title":"Electron. Mark."},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Czentye, J., Pelle, I., Kern, A., Gero, B.P., Toka, L., and Sonkoly, B. (2019, January 9\u201313). Optimizing latency sensitive applications for amazon\u2019s public cloud platform. Proceedings of the Global Communications Conference (GLOBECOM), Waikoloa, HI, USA.","DOI":"10.1109\/GLOBECOM38437.2019.9013988"},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Kayaduman, \u00dc., Kale, T., and S\u00f6zen, N. (2024, January 19\u201321). Transitioning IIoT Data Processing: An Experience with InfluxDB on Kubernetes. Proceedings of the 11th International Conference on Future Internet of Things and Cloud (FiCloud), Vienna, Austria.","DOI":"10.1109\/FiCloud62933.2024.00045"},{"key":"ref_80","first-page":"23","article-title":"Automated Scaling and Load Balancing in Kubernetes for High-Volume Data Processing","volume":"2","author":"Mustyala","year":"2023","journal-title":"ESP J. Eng. Technol. Adv."},{"key":"ref_81","first-page":"59","article-title":"Dynamic Resource Allocation in Kubernetes: Optimizing Cost and Performance","volume":"7","author":"MUSTYALA","year":"2021","journal-title":"EPH-Int. J. Sci. Eng."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Jang, H.C., and Luo, S.Y. (2023, January 14\u201316). Enhancing Node Fault Tolerance through High-Availability Clusters in Kubernetes. Proceedings of the 2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB), Taichung, Taiwan.","DOI":"10.1109\/ICEIB57887.2023.10170110"},{"key":"ref_83","unstructured":"Biernat, N.A. (2020). Scalability Benchmarking of Apache Flink. [Ph.D. Thesis, Kiel University]."},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Shaikh, E., Mohiuddin, I., Alufaisan, Y., and Nahvi, I. (2019, January 19\u201321). Apache spark: A big data processing engine. Proceedings of the 2019 2nd IEEE Middle East and North Africa COMMunications Conference (MENACOMM), Manama, Bahrain.","DOI":"10.1109\/MENACOMM46666.2019.8988541"},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Banu, A.B., and Nivedita, V. (2023). Trending big data tools for industrial data analytics. Encyclopedia of Data Science and Machine Learning, IGI Global.","DOI":"10.4018\/978-1-7998-9220-5.ch032"},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.future.2019.04.020","article-title":"The role of big data analytics in industrial Internet of Things","volume":"99","author":"Yaqoob","year":"2019","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Vijay Arputharaj, J., William, B.N.J., Haruna, A.A., and Prasad, D.D. (2024). Exploring the synergy of IIoT, AI, and data analytics in Industry 6.0. Industry 6.0: Technology, Practices, Challenges, and Applications, CRC Press.","DOI":"10.1201\/9781003517993-1"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"100959","DOI":"10.1016\/j.iot.2023.100959","article-title":"Industrial data monetization: A blockchain-based industrial IoT data trading system","volume":"24","author":"Abbasi","year":"2023","journal-title":"Internet Things"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"7389","DOI":"10.1109\/TII.2022.3210216","article-title":"A blockchain-enabled framework for enhancing scalability and security in IIoT","volume":"19","author":"Li","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"e6031","DOI":"10.1002\/cpe.6031","article-title":"The role of data management in the Industrial Internet of Things","volume":"33","author":"AlSuwaidan","year":"2021","journal-title":"Concurr. Comput. Pract. Exp."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/bs.adcom.2019.10.007","article-title":"Machine learning and deep learning algorithms on the Industrial Internet of Things (IIoT)","volume":"117","author":"Ambika","year":"2020","journal-title":"Adv. Comput."},{"key":"ref_92","first-page":"9","article-title":"Artificial intelligence-based decision-making algorithms, automated production systems, and big data-driven innovation in sustainable industry 4.0","volume":"15","author":"Duft","year":"2020","journal-title":"Econ. Manag. Financ. Mark."},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Raheem, F., and Iqbal, N. (2022). Artificial intelligence and machine learning for the industrial internet of things (iiot). Industrial Internet of Things, CRC Press.","DOI":"10.1201\/9781003145004-1"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.aej.2023.09.023","article-title":"Deep learning-based intrusion detection approach for securing industrial Internet of Things","volume":"81","author":"Soliman","year":"2023","journal-title":"Alex. Eng. J."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1504\/IJES.2022.129803","article-title":"Random forest-based IDS for IIoT edge computing security using ensemble learning for dimensionality reduction","volume":"15","author":"Benkirane","year":"2022","journal-title":"Int. J. Embed. Syst."},{"key":"ref_96","doi-asserted-by":"crossref","unstructured":"Anton, S.D.D., Sinha, S., and Schotten, H.D. (2019, January 19\u201321). Anomaly-based intrusion detection in industrial data with SVM and random forests. Proceedings of the International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, Croatia.","DOI":"10.23919\/SOFTCOM.2019.8903672"},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"12619","DOI":"10.1007\/s11042-020-10354-1","article-title":"Anomaly events classification and detection system in critical industrial internet of things infrastructure using machine learning algorithms","volume":"80","author":"Selim","year":"2021","journal-title":"Multimed. Tools Appl."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"101446","DOI":"10.1016\/j.iot.2024.101446","article-title":"A framework for anomaly classification in Industrial Internet of Things systems","volume":"29","year":"2025","journal-title":"Internet Things"},{"key":"ref_99","first-page":"8985","article-title":"A novel echo state network autoencoder for anomaly detection in industrial IoT systems","volume":"19","author":"Nocera","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"19147","DOI":"10.1109\/JIOT.2022.3163894","article-title":"Toward generative adversarial networks for the industrial internet of things","volume":"9","author":"Qian","year":"2022","journal-title":"IEEE Internet Things J."},{"key":"ref_101","doi-asserted-by":"crossref","unstructured":"De Vita, F., Bruneo, D., and Das, S.K. (2021, January 23\u201327). A Semi-Supervised Bayesian Anomaly Detection Technique for Diagnosing Faults in Industrial IoT Systems. Proceedings of the 2021 IEEE International Conference on Smart Computing (SMARTCOMP), Irvine, CA, USA.","DOI":"10.1109\/SMARTCOMP52413.2021.00025"},{"key":"ref_102","doi-asserted-by":"crossref","unstructured":"Benaddi, H., Jouhari, M., Ibrahimi, K., Ben Othman, J., and Amhoud, E.M. (2022). Anomaly detection in industrial IoT using distributional reinforcement learning and generative adversarial networks. Sensors, 22.","DOI":"10.3390\/s22218085"},{"key":"ref_103","unstructured":"Nithya, M., Gurujukota, R.B., Gautam, A., Bakliwal, C., Sangeetha, S., and Thangavel, K. (2024). Digital Twins and Reinforcement Learning for Autonomous Systems in Industry 4.0: A Comprehensive Survey. Harnessing AI and Digital Twin Technologies in Businesses, IGI Global."},{"key":"ref_104","first-page":"160","article-title":"Enhancing Energy Efficiency in Heterogeneous Cyber Security Networks Using Deep Q-Networks Data Routing","volume":"14","author":"Deshpande","year":"2024","journal-title":"J. Cybersecur. Inf. Manag."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"110670","DOI":"10.1016\/j.comnet.2024.110670","article-title":"Next-gen resource optimization in NB-IoT networks: Harnessing soft actor\u2013critic reinforcement learning","volume":"252","author":"Anbazhagan","year":"2024","journal-title":"Comput. Netw."},{"key":"ref_106","doi-asserted-by":"crossref","unstructured":"Job, D., and Paul, V. (2022). Challenges, security mechanisms, and research areas in iot and iiot. Internet of Things and Its Applications, Springer.","DOI":"10.1007\/978-3-030-77528-5_28"},{"key":"ref_107","doi-asserted-by":"crossref","unstructured":"Lara, E., Aguilar, L., Sanchez, M.A., and Garc\u00eda, J.A. (2020). Lightweight authentication protocol for M2M communications of resource-constrained devices in industrial Internet of Things. Sensors, 20.","DOI":"10.3390\/s20020501"},{"key":"ref_108","doi-asserted-by":"crossref","unstructured":"Yadav, G., Paul, K., and Gauravaram, P. (2022). Vulnerability management in IIoT-based systems: What, why and how. Secure and Trusted Cyber Physical Systems: Recent Approaches and Future Directions, Springer.","DOI":"10.1007\/978-3-031-08270-2_3"},{"key":"ref_109","doi-asserted-by":"crossref","unstructured":"Kumar, S., Kameswari, Y.L., Rao, K.R., Moram, V., and Shital, S. (2024). Risk Management in IIoT. Industrial Internet of Things Security, CRC Press.","DOI":"10.1201\/9781003466284-3"},{"key":"ref_110","doi-asserted-by":"crossref","unstructured":"Crowther, K.G., Upadrashta, R., and Ramachandra, G. (2022, January 14\u201315). Securing Over-the-Air Firmware Updates (FOTA) for Industrial Internet of Things (IIOT) Devices. Proceedings of the 2022 IEEE International Symposium on Technologies for Homeland Security (HST), Virtual.","DOI":"10.1109\/HST56032.2022.10025441"},{"key":"ref_111","unstructured":"Lorych, D., and Plappert, C. (August, January 30). Hardware Trust Anchor Authentication for Updatable IoT Devices. Proceedings of the 19th International Conference on Availability, Reliability and Security, Vienna, Austria."},{"key":"ref_112","unstructured":"Bajramovic, E., Gupta, D., Guo, Y., Waedt, K., and Bajramovic, A. (2019). Security challenges and best practices for IIoT. INFORMATIK Workshops, Gesellschaft f\u00fcr Informatik eV."},{"key":"ref_113","doi-asserted-by":"crossref","unstructured":"Baruah, B., and Dhal, S. (2020, January 1\u20133). An efficient authentication scheme for secure communication between industrial IoT devices. Proceedings of the 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India.","DOI":"10.1109\/ICCCNT49239.2020.9225644"},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"6368","DOI":"10.1109\/TII.2021.3130163","article-title":"Cross-layer device authentication with quantum encryption for 5G enabled IIoT in industry 4.0","volume":"18","author":"Xu","year":"2021","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"1613","DOI":"10.30574\/wjarr.2024.24.1.3194","article-title":"Fortifying cloud environments against data breaches: A novel AI-driven security framework","volume":"4","author":"Kasula","year":"2024","journal-title":"World J. Adv. Res. Rev."},{"key":"ref_116","doi-asserted-by":"crossref","unstructured":"Kovach, A., Lanza, J., Montalvillo, L., and Urbieta, A. (2024, January 22). Sovereign IIoT Data Exchange Using DAG-Based DLT and International Data Spaces Architecture. Proceedings of the 4th Eclipse Security, AI, Architecture and Modelling Conference on Data Space, Mainz, Germany.","DOI":"10.1145\/3685651.3686658"},{"key":"ref_117","first-page":"940","article-title":"The role of ecosystem data governance in adoption of data platforms by Internet-of-Things data providers: Case of Dutch horticulture industry","volume":"69","author":"Rezaei","year":"2020","journal-title":"IEEE Trans. Eng. Manag."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.comcom.2023.06.020","article-title":"Cybersecurity for Industrial IoT (IIoT): Threats, countermeasures, challenges and future directions","volume":"208","author":"Mekala","year":"2023","journal-title":"Comput. Commun."},{"key":"ref_119","unstructured":"Ashraf, M., and Haile, A. (2025, February 10). Data Protection and AI: Navigating Regulatory Compliance in AI-Driven Systems. Available online: https:\/\/www.researchgate.net\/publication\/384227053_Data_Protection_and_AI_Navigating_Regulatory_Compliance_in_AI-_Driven_Systems?channel=doi&linkId=66eec69ac0570c21feb07e99&showFulltext=true."},{"key":"ref_120","first-page":"1","article-title":"Smart factories, dumb policy? Managing cybersecurity and data privacy risks in the industrial internet of things","volume":"21","author":"Shackelford","year":"2019","journal-title":"Minn. J. Law Sci. Tech."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"e485","DOI":"10.1002\/spy2.485","article-title":"Standardizing Industrial Internet of Things (IIoT) Forensic Processes","volume":"8","author":"Kebande","year":"2025","journal-title":"Secur. Priv."},{"key":"ref_122","doi-asserted-by":"crossref","unstructured":"Pal, S., and Jadidi, Z. (2021). Analysis of security issues and countermeasures for the industrial internet of things. Appl. Sci., 11.","DOI":"10.3390\/app11209393"},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"3680","DOI":"10.1109\/TII.2019.2903342","article-title":"Towards secure industrial IoT: Blockchain system with credit-based consensus mechanism","volume":"15","author":"Huang","year":"2019","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_124","doi-asserted-by":"crossref","unstructured":"Antrobus, R., Green, B., Frey, S., and Rashid, A. (2019, January 1\u20132). The forgotten I in IIoT: A vulnerability scanner for industrial Internet of Things. Proceedings of the Living in the Internet of Things, London, UK.","DOI":"10.1049\/cp.2019.0126"},{"key":"ref_125","first-page":"100504","article-title":"Analysis of multi-dimensional Industrial IoT (IIoT) data in Edge-Fog-Cloud based architectural frameworks: A survey on current state and research challenges","volume":"35","author":"Kumar","year":"2023","journal-title":"J. Ind. Inf. Integr."},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"102559","DOI":"10.1016\/j.cose.2021.102559","article-title":"Multiuser physical layer security mechanism in the wireless communication system of the IIOT","volume":"113","author":"Du","year":"2022","journal-title":"Comput. Secur."},{"key":"ref_127","doi-asserted-by":"crossref","unstructured":"Profentzas, C., G\u00fcnes, M., Nikolakopoulos, Y., Landsiedel, O., and Almgren, M. (2019, January 29\u201331). Performance of secure boot in embedded systems. Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), Santorini, Greece.","DOI":"10.1109\/DCOSS.2019.00054"},{"key":"ref_128","doi-asserted-by":"crossref","unstructured":"Ahmed, A.A. (2021). Lightweight digital certificate management and efficacious symmetric cryptographic mechanism over industrial Internet of Things. Sensors, 21.","DOI":"10.3390\/s21082810"},{"key":"ref_129","doi-asserted-by":"crossref","unstructured":"Deebak, B., and Hwang, S.O. (2025). Privacy-Preserving Learning Model Using Lightweight Encryption for Visual Sensing Industrial IoT Devices. IEEE Trans. Emerg. Top. Comput. Intell., 1\u201318.","DOI":"10.1109\/TETCI.2024.3523771"},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.jmsy.2020.10.011","article-title":"Securing IIoT using defence-in-depth: Towards an end-to-end secure industry 4.0","volume":"57","author":"Barcelo","year":"2020","journal-title":"J. Manuf. Syst."},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"215","DOI":"10.9734\/jerr\/2024\/v26i21083","article-title":"Zero trust architecture in cloud networks: Application, challenges and future opportunities","volume":"26","author":"Ahmadi","year":"2024","journal-title":"J. Eng. Res. Rep."},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"5007","DOI":"10.1109\/TII.2021.3105527","article-title":"A blockchain-enabled privacy-preserving verifiable query framework for securing cloud-assisted industrial internet of things systems","volume":"18","author":"Rahman","year":"2021","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_133","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.future.2022.03.032","article-title":"Enabling secure time-series data sharing via homomorphic encryption in cloud-assisted IIoT","volume":"133","author":"Halder","year":"2022","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"103414","DOI":"10.1016\/j.adhoc.2024.103414","article-title":"Flexible zero trust architecture for the cybersecurity of industrial IoT infrastructures","volume":"156","author":"Zanasi","year":"2024","journal-title":"Ad Hoc Netw."},{"key":"ref_135","doi-asserted-by":"crossref","unstructured":"Puri, V., Priyadarshini, I., Kumar, R., and Kim, L.C. (2020, January 13\u201314). Blockchain meets IIoT: An architecture for privacy preservation and security in IIoT. Proceedings of the 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), Gunupur, India.","DOI":"10.1109\/ICCSEA49143.2020.9132860"},{"key":"ref_136","doi-asserted-by":"crossref","unstructured":"Alahmadi, A., and Lin, X. (2019, January 20\u201324). Towards secure and fair IIoT-enabled supply chain management via blockchain-based smart contracts. Proceedings of the ICC 2019-2019 IEEE International Conference on Communications (ICC), Shanghai, China.","DOI":"10.1109\/ICC.2019.8761216"},{"key":"ref_137","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1007\/s10723-020-09527-x","article-title":"Towards blockchain-enabled security technique for industrial internet of things based decentralized applications","volume":"18","author":"Sodhro","year":"2020","journal-title":"J. Grid Comput."},{"key":"ref_138","doi-asserted-by":"crossref","unstructured":"Jeong, Y.S. (2022). Secure IIoT information reinforcement model based on IIoT information platform using blockchain. Sensors, 22.","DOI":"10.3390\/s22124645"},{"key":"ref_139","doi-asserted-by":"crossref","unstructured":"Xiong, A., Wang, T., Li, N., and Jha, S. (2020, January 18\u201320). Towards effective differential privacy communication for users\u2019 data sharing decision and comprehension. Proceedings of the 2020 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA.","DOI":"10.1109\/SP40000.2020.00088"},{"key":"ref_140","unstructured":"Kour, J. (2021). Federated Learning for Privacy-Preserving Machine Learning. Int. J. Mach. Learn. Artif. Intell., 2, Available online: https:\/\/jmlai.in\/index.php\/ijmlai\/article\/view\/6."},{"key":"ref_141","doi-asserted-by":"crossref","unstructured":"Del Re, E. (2024). Technologies of Data Protection and Institutional Decisions for Data Sovereignty. Information, 15.","DOI":"10.3390\/info15080444"},{"key":"ref_142","doi-asserted-by":"crossref","unstructured":"Drosatos, G., Rantos, K., Karampatzakis, D., Lagkas, T., and Sarigiannidis, P. (2020, January 25\u201327). Privacy-preserving solutions in the Industrial Internet of Things. Proceedings of the 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS), Marina del Rey, CA, USA.","DOI":"10.1109\/DCOSS49796.2020.00044"},{"key":"ref_143","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1109\/MCOM.101.2001126","article-title":"Securing critical infrastructures: Deep-learning-based threat detection in IIoT","volume":"59","author":"Yu","year":"2021","journal-title":"IEEE Commun. Mag."},{"key":"ref_144","doi-asserted-by":"crossref","first-page":"102930","DOI":"10.1016\/j.adhoc.2022.102930","article-title":"Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems","volume":"134","author":"Khan","year":"2022","journal-title":"Ad Hoc Netw."},{"key":"ref_145","doi-asserted-by":"crossref","first-page":"6182","DOI":"10.1109\/TII.2020.2975227","article-title":"Trustworthy network anomaly detection based on an adaptive learning rate and momentum in IIoT","volume":"16","author":"Yan","year":"2020","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_146","doi-asserted-by":"crossref","unstructured":"Chehri, A., and Jeon, G. (2019). The industrial internet of things: Examining how the IIoT will improve the predictive maintenance. Innovation in Medicine and Healthcare Systems, and Multimedia: Proceedings of KES-InMed-19 and KES-IIMSS-19 Conferences, Springer.","DOI":"10.1007\/978-981-13-8566-7_47"},{"key":"ref_147","doi-asserted-by":"crossref","unstructured":"Annamalai, S., Udendhran, R., and Vimal, S. (2019). Cloud-based predictive maintenance and machine monitoring for intelligent manufacturing for automobile industry. Novel Practices and Trends in Grid and Cloud Computing, IGI Global.","DOI":"10.4018\/978-1-5225-9023-1.ch006"},{"key":"ref_148","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1109\/TASE.2020.2998586","article-title":"Machine learning-based prognostics for central heating and cooling plant equipment health monitoring","volume":"18","author":"Yang","year":"2020","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_149","doi-asserted-by":"crossref","first-page":"e4618","DOI":"10.1002\/ett.4618","article-title":"Leveraging big data analytics in 5G-enabled IoT and industrial IoT for the development of sustainable smart cities","volume":"33","author":"Mukherjee","year":"2022","journal-title":"Trans. Emerg. Telecommun. Technol."},{"key":"ref_150","doi-asserted-by":"crossref","unstructured":"Dewangan, R.K., and Dewangan, V. (2024). Scalability and Deployment of Emerging Technologies in Predictive Maintenance. Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing, CRC Press.","DOI":"10.1201\/9781003480860-4"},{"key":"ref_151","doi-asserted-by":"crossref","unstructured":"Pech, M., Vrchota, J., and Bedn\u00e1\u0159, J. (2021). Predictive maintenance and intelligent sensors in smart factory. Sensors, 21.","DOI":"10.3390\/s21041470"},{"key":"ref_152","unstructured":"Onur, K., Kaymakci, O.T., and Mercimek, M. (2020, January 21\u201323). Advanced predictive maintenance with machine learning failure estimation in industrial packaging robots. Proceedings of the 2020 International Conference on Development and Application Systems (DAS), Suceava, Romania."},{"key":"ref_153","doi-asserted-by":"crossref","unstructured":"Fatima, M., and Jain, J. (2023). Cloud-Integrated Industrial Internet of Things and Its Applications. AI-Aided IoT Technologies and Applications for Smart Business and Production, CRC Press.","DOI":"10.1201\/9781003392224-12"},{"key":"ref_154","doi-asserted-by":"crossref","first-page":"121691","DOI":"10.1016\/j.energy.2021.121691","article-title":"Data-driven energy prediction modeling for both energy efficiency and maintenance in smart manufacturing systems","volume":"238","year":"2022","journal-title":"Energy"},{"key":"ref_155","first-page":"1","article-title":"Open ecosystem for future industrial Internet of things (IIoT): Architecture and application","volume":"6","author":"Zhang","year":"2020","journal-title":"CSEE J. Power Energy Syst."},{"key":"ref_156","doi-asserted-by":"crossref","unstructured":"Anandan, R., Gopalakrishnan, S., Pal, S., and Zaman, N. (2022). Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance, John Wiley & Sons.","DOI":"10.1002\/9781119769026"},{"key":"ref_157","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Tang, D., Zhu, H., Zhou, S., and Zhao, Z. (2022). An efficient IIoT gateway for cloud\u2013edge collaboration in cloud manufacturing. Machines, 10.","DOI":"10.3390\/machines10100850"},{"key":"ref_158","unstructured":"Sujatha, R., Thomas, S.C., Mathews, A., and Prabhu, S. (2020, January 2\u20134). Secure Cloud-based Remote Monitoring of Environmental Factors using Mobile and Web Apps for Industry Automation. Proceedings of the 2021 International Conference on Computational Performance Evaluation (ComPE), Shillong, India."},{"key":"ref_159","doi-asserted-by":"crossref","first-page":"191785","DOI":"10.1109\/ACCESS.2020.3032436","article-title":"Context-aware autonomous security assertion for industrial IoT","volume":"8","author":"Tariq","year":"2020","journal-title":"IEEE Access"},{"key":"ref_160","doi-asserted-by":"crossref","unstructured":"Luchian, R.A., Stamatescu, G., Stamatescu, I., Fagarasan, I., and Popescu, D. (2021, January 22\u201325). Iiot decentralized system monitoring for smart industry applications. Proceedings of the 2021 29th Mediterranean Conference on Control and Automation (MED), Puglia, Italy.","DOI":"10.1109\/MED51440.2021.9480341"},{"key":"ref_161","unstructured":"Su, W., Liu, Y., Du, Y., Dong, Y., Pan, M., and Xu, G. (2019, January 9\u201311). Three-real-time architecture of industrial automation based on edge computing. Proceedings of the 2019 IEEE International conference on smart Internet of Things (SmartIoT), Tianjin, China."},{"key":"ref_162","doi-asserted-by":"crossref","first-page":"723","DOI":"10.1080\/0951192X.2019.1610578","article-title":"Cloud-based big data analytics platform using algorithm templates for the manufacturing industry","volume":"32","author":"Jun","year":"2019","journal-title":"Int. J. Comput. Integr. Manuf."},{"key":"ref_163","first-page":"117","article-title":"Implementation of Real Time Data Collection Process Automation Control Using IIoT Applications","volume":"13","author":"Howimanporn","year":"2022","journal-title":"J. Adv. Inf. Technol."},{"key":"ref_164","doi-asserted-by":"crossref","unstructured":"Patel, P.K., Dave, D.P., Solanki, K., and Modi, K. (2021, January 8\u201310). Improving Cloud Integrated Sensor Network Architecture, Applications & Challenges. Proceedings of the 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India.","DOI":"10.1109\/ICCMC51019.2021.9418370"},{"key":"ref_165","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1016\/j.procs.2019.04.091","article-title":"Towards distributed IoT\/cloud based fault detection and maintenance in industrial automation","volume":"151","author":"Xenakis","year":"2019","journal-title":"Procedia Comput. Sci."},{"key":"ref_166","doi-asserted-by":"crossref","unstructured":"Luo, R., Sheng, B., Lu, Y., Huang, Y., Fu, G., and Yin, X. (2023). Digital twin model quality optimization and control methods based on workflow management. Appl. Sci., 13.","DOI":"10.3390\/app13052884"},{"key":"ref_167","doi-asserted-by":"crossref","unstructured":"Pham, B., Nunnally, E., Huff, C., Duong, N., Smit, A., and Stinskiy, A. (2020, January 12\u201315). Decentralized distribution automation system-scalability and deployment challenges. Proceedings of the 2020 IEEE\/PES Transmission and Distribution Conference and Exposition (T&D), Chicago, IL, USA.","DOI":"10.1109\/TD39804.2020.9299893"},{"key":"ref_168","doi-asserted-by":"crossref","first-page":"103623","DOI":"10.1016\/j.compind.2022.103623","article-title":"The architectural design and implementation of a digital platform for Industry 4.0 SME collaboration","volume":"138","author":"Liu","year":"2022","journal-title":"Comput. Ind."},{"key":"ref_169","first-page":"797","article-title":"The Impact Of Cloud Computing And Ai On Industry Dynamics And Competition","volume":"30","author":"Mistry","year":"2024","journal-title":"Educ. Adm. Theory Pract."},{"key":"ref_170","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.future.2019.02.062","article-title":"Multi-objective resource allocation for edge cloud based robotic workflow in smart factory","volume":"97","author":"Afrin","year":"2019","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_171","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1080\/0951192X.2020.1815850","article-title":"A cloud-based digital twin manufacturing system based on an interoperable data schema for smart manufacturing","volume":"33","author":"Park","year":"2020","journal-title":"Int. J. Comput. Integr. Manuf."},{"key":"ref_172","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1186\/s13677-020-00174-x","article-title":"Intelligent algorithms for cold chain logistics distribution optimization based on big data cloud computing analysis","volume":"9","author":"Chen","year":"2020","journal-title":"J. Cloud Comput."},{"key":"ref_173","doi-asserted-by":"crossref","unstructured":"Shukla, V.K., Wanganoo, L., Yousuf, M., and Tripathi, R. (2023). Leveraging IIoT in Reverse Logistics: A WSN Approach. Internet of Things, Apple Academic Press.","DOI":"10.1201\/9781003304609-7"},{"key":"ref_174","first-page":"100008","article-title":"Surviving major disruptions: Building supply chain resilience and visibility through rapid information flow and real-time insights at the \u201cedge\u201d","volume":"2","author":"Dey","year":"2023","journal-title":"Sustain. Manuf. Serv. Econ."},{"key":"ref_175","doi-asserted-by":"crossref","unstructured":"Kaya, S.K. (2020). Industrial internet of things: How industrial internet of things impacts the supply chain. Internet of Things (IoT) Applications for Enterprise Productivity, IGI Global.","DOI":"10.4018\/978-1-7998-3175-4.ch006"},{"key":"ref_176","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.1108\/JEIM-09-2022-0317","article-title":"Next generation supply chain management: The impact of cloud computing","volume":"37","author":"Gammelgaard","year":"2024","journal-title":"J. Enterp. Inf. Manag."},{"key":"ref_177","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.comcom.2019.12.028","article-title":"An intelligent swarm based prediction approach for predicting cloud computing user resource needs","volume":"151","author":"Kholidy","year":"2020","journal-title":"Comput. Commun."},{"key":"ref_178","doi-asserted-by":"crossref","first-page":"5542914","DOI":"10.1155\/2021\/5542914","article-title":"Optimization of Internet of Things E-Commerce Logistics Cloud Service Platform Based on Mobile Communication","volume":"2021","author":"Chen","year":"2021","journal-title":"Complexity"},{"key":"ref_179","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1007\/s10845-019-01503-x","article-title":"Formal modeling of cyber-physical resource scheduling in IIoT cloud environments","volume":"31","author":"Jha","year":"2020","journal-title":"J. Intell. Manuf."},{"key":"ref_180","first-page":"16","article-title":"The Role of Predictive Analytics in Supply Chain Optimization","volume":"12","author":"Pawar","year":"2024","journal-title":"J. Recent Trends Comput. Sci. Eng. (JRTCSE)"},{"key":"ref_181","doi-asserted-by":"crossref","unstructured":"Raffik, R., Rakesh, D., Venkatesh, M., and Samvasan, P. (2023, January 16\u201317). Supply Chain Control and Inventory Tracking System using Industrial Automation Tools and IIoT. Proceedings of the 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), Coimbatore, India.","DOI":"10.1109\/ICAECA52838.2021.9675774"},{"key":"ref_182","doi-asserted-by":"crossref","first-page":"193","DOI":"10.5267\/j.msl.2023.4.003","article-title":"Cloud computing in supply chain management: Exploring the relationship","volume":"13","author":"Yenugula","year":"2023","journal-title":"Manag. Sci. Lett."},{"key":"ref_183","doi-asserted-by":"crossref","first-page":"101370","DOI":"10.1016\/j.aei.2021.101370","article-title":"An IIoT-driven and AI-enabled framework for smart manufacturing system based on three-terminal collaborative platform","volume":"50","author":"Bu","year":"2021","journal-title":"Adv. Eng. Inform."},{"key":"ref_184","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1108\/TQM-03-2020-0045","article-title":"The conceptual framework on integrated flexibility: An evolution to data-driven supply chain management","volume":"35","author":"Khanuja","year":"2023","journal-title":"TQM J."},{"key":"ref_185","first-page":"106","article-title":"Enhancing supply chain resilience with cloud-based ERP systems\u2019","volume":"8","author":"Syed","year":"2024","journal-title":"IRE J."},{"key":"ref_186","doi-asserted-by":"crossref","first-page":"7525","DOI":"10.1109\/TII.2022.3153508","article-title":"Two-phase industrial manufacturing service management for energy efficiency of data centers","volume":"18","author":"Zhang","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_187","doi-asserted-by":"crossref","first-page":"183665","DOI":"10.1109\/ACCESS.2020.3028764","article-title":"Privacy protection and energy optimization for 5G-aided industrial Internet of Things","volume":"8","author":"Humayun","year":"2020","journal-title":"IEEE Access"},{"key":"ref_188","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1016\/j.jmsy.2024.05.010","article-title":"Integrated sustainable benchmark based on edge-cloud cooperation and big data analytics for energy-intensive manufacturing industries","volume":"74","author":"Ma","year":"2024","journal-title":"J. Manuf. Syst."},{"key":"ref_189","doi-asserted-by":"crossref","first-page":"109008","DOI":"10.1109\/ACCESS.2022.3214177","article-title":"Design, Implementation, and Deployment of Modular Battery Management System for IIoT-Based Applications","volume":"10","author":"Canilang","year":"2022","journal-title":"IEEE Access"},{"key":"ref_190","doi-asserted-by":"crossref","unstructured":"Krot, K., Iskierka, G., Poskart, B., and Gola, A. (2022). Predictive monitoring system for autonomous mobile robots battery management using the industrial Internet of Things technology. Materials, 15.","DOI":"10.3390\/ma15196561"},{"key":"ref_191","doi-asserted-by":"crossref","unstructured":"Liu, F., Huang, Z., and Wang, L. (2019). Energy-efficient collaborative task computation offloading in cloud-assisted edge computing for IoT sensors. Sensors, 19.","DOI":"10.3390\/s19051105"},{"key":"ref_192","doi-asserted-by":"crossref","first-page":"73","DOI":"10.3390\/iot3010004","article-title":"IoTivity cloud-enabled platform for energy management applications","volume":"3","author":"Mandza","year":"2021","journal-title":"IoT"},{"key":"ref_193","doi-asserted-by":"crossref","first-page":"103035","DOI":"10.1016\/j.rineng.2024.103035","article-title":"A multi-agent system approach for real-time energy management and control in hybrid low-voltage microgrids","volume":"24","author":"Chakir","year":"2024","journal-title":"Results Eng."},{"key":"ref_194","doi-asserted-by":"crossref","first-page":"100362","DOI":"10.1016\/j.egyai.2024.100362","article-title":"HVAC energy cost minimization in smart grids: A cloud-based demand side management approach with game theory optimization and deep learning","volume":"16","author":"Heidarykiany","year":"2024","journal-title":"Energy AI"},{"key":"ref_195","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1108\/IJESM-12-2023-0017","article-title":"The use of the Internet of Things to increase energy efficiency in manufacturing industries","volume":"19","author":"Reichardt","year":"2024","journal-title":"Int. J. Energy Sect. Manag."},{"key":"ref_196","first-page":"100363","article-title":"Renewable energy management in smart grids by using big data analytics and machine learning","volume":"9","author":"Mostafa","year":"2022","journal-title":"Mach. Learn. Appl."},{"key":"ref_197","doi-asserted-by":"crossref","unstructured":"Rajawat, A.S., Mohammed, O., Shaw, R.N., and Ghosh, A. (2022). Renewable energy system for industrial internet of things model using fusion-AI. Applications of AI and IOT in Renewable Energy, Elsevier.","DOI":"10.1016\/B978-0-323-91699-8.00006-1"},{"key":"ref_198","doi-asserted-by":"crossref","unstructured":"Nammouchi, A., Aupke, P., Kassler, A., Theocharis, A., Raffa, V., and Di Felice, M. (2021, January 7\u201310). Integration of AI, IoT and edge-computing for smart microgrid energy management. Proceedings of the International Conference on Environment and Electrical Engineering and Industrial and Commercial Power Systems (EEEIC\/I&CPS) Europe, Bari, Italy.","DOI":"10.1109\/EEEIC\/ICPSEurope51590.2021.9584756"},{"key":"ref_199","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1002\/er.6141","article-title":"Internet of things and cloud computing-based energy management system for demand side management in smart grid","volume":"45","author":"Hashmi","year":"2021","journal-title":"Int. J. Energy Res."},{"key":"ref_200","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1109\/TII.2022.3165890","article-title":"SIEMS: A secure intelligent energy management system for industrial IoT applications","volume":"19","author":"Asef","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_201","doi-asserted-by":"crossref","first-page":"04021064","DOI":"10.1061\/(ASCE)PS.1949-1204.0000616","article-title":"Integrated augmented reality and cloud computing approach for infrastructure utilities maintenance","volume":"13","author":"Tarek","year":"2022","journal-title":"J. Pipeline Syst. Eng. Pract."},{"key":"ref_202","doi-asserted-by":"crossref","first-page":"928","DOI":"10.1109\/JSAC.2020.2980919","article-title":"An energy-efficient networking approach in cloud services for IIoT networks","volume":"38","author":"Jiang","year":"2020","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_203","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/j.vrih.2022.05.003","article-title":"Digital twin intelligent system for industrial internet of things-based big data management and analysis in cloud environments","volume":"4","author":"Stergiou","year":"2022","journal-title":"Virtual Real. Intell. Hardw."},{"key":"ref_204","doi-asserted-by":"crossref","unstructured":"Shi, C., Ren, Z., Yang, K., Chen, C., Zhang, H., Xiao, Y., and Hou, X. (2018, January 15\u201318). Ultra-low latency cloud-fog computing for industrial Internet of Things. Proceedings of the 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain.","DOI":"10.1109\/WCNC.2018.8377192"},{"key":"ref_205","doi-asserted-by":"crossref","unstructured":"Rani, S., Singh, A., Elkamchouchi, D.H., and Noya, I.D. (2022). Lightweight hybrid deep learning architecture and model for security in IIOT. Appl. Sci., 12.","DOI":"10.3390\/app12136442"},{"key":"ref_206","doi-asserted-by":"crossref","first-page":"2842","DOI":"10.1109\/TII.2020.3020386","article-title":"Edge computing-enabled deep learning for real-time video optimization in IIoT","volume":"17","author":"Dou","year":"2020","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_207","doi-asserted-by":"crossref","first-page":"101727","DOI":"10.1016\/j.is.2021.101727","article-title":"The FORA fog computing platform for industrial IoT","volume":"98","author":"Pop","year":"2021","journal-title":"Inf. Syst."},{"key":"ref_208","doi-asserted-by":"crossref","unstructured":"Hu, Y., Zhu, Y., Zhang, H., Pan, Y., Jia, Q., Xie, R., Yang, G., and Yu, F.R. (2024). Pioneering Deterministic Scheduling and Network Structure Optimization for Time-Critical Computing Tasks in Industrial IoT. arXiv.","DOI":"10.36227\/techrxiv.170862190.04723060\/v1"},{"key":"ref_209","doi-asserted-by":"crossref","unstructured":"Zheng, X., Lu, J., Sun, S., and Kiritsis, D. (2020). Decentralized industrial IoT data management based on blockchain and IPFS. IFIP International Conference on Advances in Production Management Systems, Springer.","DOI":"10.1007\/978-3-030-57997-5_26"},{"key":"ref_210","doi-asserted-by":"crossref","unstructured":"Pereira, P.H.M., Cainelli, G., Pereira, C.E., Da Costa, J.P.J., and De Freitas, E.P. (2023, January 19\u201321). An Interoperability Middleware for IIoT. Proceedings of the 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), Helsinki, Finland.","DOI":"10.1109\/ISIE51358.2023.10227975"},{"key":"ref_211","doi-asserted-by":"crossref","unstructured":"Kulik, V., and Kirichek, R. (2018, January 5\u20139). The heterogeneous gateways in the industrial internet of things. Proceedings of the 2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Moscow, Russia.","DOI":"10.1109\/ICUMT.2018.8631232"},{"key":"ref_212","doi-asserted-by":"crossref","unstructured":"Saif, D., and Matrawy, A. (2024, January 19\u201322). Mass Configuration of Heterogeneous IIoT Nodes: A Proposal and Experimental Evaluation. Proceedings of the 2024 International Conference on Computing, Networking and Communications (ICNC), Big Island, HI, USA.","DOI":"10.1109\/ICNC59896.2024.10556270"},{"key":"ref_213","doi-asserted-by":"crossref","unstructured":"Rufino, J., Alam, M., Ferreira, J., Rehman, A., and Tsang, K.F. (2017, January 22\u201325). Orchestration of containerized microservices for IIoT using Docker. Proceedings of the 2017 IEEE International Conference on Industrial Technology (ICIT), Toronto, ON, Canada.","DOI":"10.1109\/ICIT.2017.7915594"},{"key":"ref_214","doi-asserted-by":"crossref","unstructured":"Ermolenko, D., Kilicheva, C., Muthanna, A., and Khakimov, A. (2021, January 26\u201329). Internet of Things services orchestration framework based on Kubernetes and edge computing. Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), St. Petersburg, Russia.","DOI":"10.1109\/ElConRus51938.2021.9396553"},{"key":"ref_215","doi-asserted-by":"crossref","first-page":"4297","DOI":"10.1109\/TII.2021.3131355","article-title":"Dynamic network slicing orchestration for remote adaptation and configuration in industrial IoT","volume":"18","author":"Ji","year":"2021","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_216","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1007\/s11277-018-5856-5","article-title":"Mobile edge computing platform with container-based virtualization technology for IoT applications","volume":"102","author":"Hsieh","year":"2018","journal-title":"Wirel. Pers. Commun."},{"key":"ref_217","doi-asserted-by":"crossref","first-page":"8242","DOI":"10.1109\/TII.2022.3217477","article-title":"Workflow scheduling in serverless edge computing for the industrial internet of things: A learning approach","volume":"19","author":"Xie","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_218","first-page":"23","article-title":"Serverless Computing in Cloud Environments: Architectural Patterns, Performance Optimization Strategies, and Deployment Best Practices","volume":"2","author":"Shahane","year":"2022","journal-title":"J. AI-Assist. Sci. Discov."},{"key":"ref_219","doi-asserted-by":"crossref","first-page":"1176","DOI":"10.1109\/TASE.2020.2978527","article-title":"Dispersed automation for industrial Internet of Things","volume":"17","author":"Cao","year":"2020","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_220","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3510412","article-title":"A holistic view on resource management in serverless computing environments: Taxonomy and future directions","volume":"54","author":"Mampage","year":"2022","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"ref_221","doi-asserted-by":"crossref","first-page":"7","DOI":"10.12700\/APH.21.4.2024.4.1","article-title":"Cloud Integration of Industrial IoT Systems. Architecture, Security Aspects and Sample Implementations","volume":"21","author":"Ferencz","year":"2024","journal-title":"Acta Polytech. Hung."},{"key":"ref_222","doi-asserted-by":"crossref","unstructured":"Leander, B., \u010cau\u0161evi\u0107, A., and Hansson, H. (2019, January 10\u201313). Cybersecurity challenges in large industrial IoT systems. Proceedings of the 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Zaragoza, Spain.","DOI":"10.1109\/ETFA.2019.8869162"},{"key":"ref_223","doi-asserted-by":"crossref","first-page":"2671","DOI":"10.1007\/s00500-023-09585-9","article-title":"Enhancing security in IIoT applications through efficient quantum key exchange and advanced encryption standard","volume":"28","author":"Krishna","year":"2024","journal-title":"Soft Comput."},{"key":"ref_224","unstructured":"Ru\u00edz-Guirola, D.E., L\u00f3pez, O.L., and Montejo-S\u00e1nchez, S. (2024). Configuring transmission thresholds in IIoT alarm scenarios for energy-efficient event reporting. arXiv."},{"key":"ref_225","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1109\/TCE.2023.3320673","article-title":"Ai-based sustainable and intelligent offloading framework for iiot in collaborative cloud-fog environments","volume":"70","author":"Kumar","year":"2023","journal-title":"IEEE Trans. Consum. Electron."},{"key":"ref_226","doi-asserted-by":"crossref","unstructured":"Bin Mofidul, R., Alam, M.M., Rahman, M.H., and Jang, Y.M. (2022). Real-time energy data acquisition, anomaly detection, and monitoring system: Implementation of a secured, robust, and integrated global IIoT infrastructure with edge and cloud AI. Sensors, 22.","DOI":"10.3390\/s22228980"},{"key":"ref_227","doi-asserted-by":"crossref","first-page":"105479","DOI":"10.1109\/ACCESS.2023.3318755","article-title":"Iot-enabled secure and scalable cloud architecture for multi-user systems: A hybrid post-quantum cryptographic and blockchain based approach towards a trustworthy cloud computing","volume":"11","author":"Irshad","year":"2023","journal-title":"IEEE Access"},{"key":"ref_228","doi-asserted-by":"crossref","first-page":"2759","DOI":"10.1109\/TPDS.2019.2926979","article-title":"Multi-hop cooperative computation offloading for industrial IoT\u2013edge\u2013cloud computing environments","volume":"30","author":"Hong","year":"2019","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_229","unstructured":"Traukina, A., Thomas, J., Tyagi, P., and Reddipalli, K. (2020). Industrial Internet Application Development: Simplify IIoT Development Using the Elasticity of Public Cloud and Native Cloud Services, Packt Publishing Ltd."},{"key":"ref_230","doi-asserted-by":"crossref","first-page":"42546","DOI":"10.1109\/ACCESS.2023.3268223","article-title":"Strategies for assuring low latency, scalability and interoperability in edge computing and TSN networks for critical IIoT services","volume":"11","author":"Gomez","year":"2023","journal-title":"IEEE Access"},{"key":"ref_231","doi-asserted-by":"crossref","unstructured":"Chandra Shekhar Rao, V., Kumarswamy, P., Phridviraj, M., Venkatramulu, S., and Subba Rao, V. (2021). 5G enabled industrial internet of things (IIoT) architecture for smart manufacturing. Data Engineering and Communication Technology: Proceedings of ICDECT 2020, Springer.","DOI":"10.1007\/978-981-16-0081-4_20"},{"key":"ref_232","doi-asserted-by":"crossref","first-page":"4","DOI":"10.3991\/ijoe.v18i04.27753","article-title":"5G-enabled IIoT framework architecture towards sustainable smart manufacturing","volume":"18","author":"Mahiri","year":"2022","journal-title":"Int. J. Online Biomed. Eng"},{"key":"ref_233","doi-asserted-by":"crossref","first-page":"115839","DOI":"10.1109\/ACCESS.2021.3105944","article-title":"SDN-enabled resource orchestration for industrial IoT in collaborative edge-cloud networks","volume":"9","author":"Okwuibe","year":"2021","journal-title":"IEEE Access"},{"key":"ref_234","doi-asserted-by":"crossref","first-page":"1756","DOI":"10.1109\/TII.2022.3186891","article-title":"An intelligent deterministic scheduling method for ultralow latency communication in edge enabled industrial Internet of Things","volume":"19","author":"Lu","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_235","first-page":"271","article-title":"Advanced Artificial Intelligence Techniques for Real-Time Predictive Maintenance in Industrial IoT Systems: A Comprehensive Analysis and Framework","volume":"3","author":"Abouelyazid","year":"2023","journal-title":"J. AI-Assist. Sci. Discov."},{"key":"ref_236","doi-asserted-by":"crossref","first-page":"1080","DOI":"10.1109\/TII.2022.3189170","article-title":"Cloud-IIoT-based electronic health record privacy-preserving by CNN and blockchain-enabled federated learning","volume":"19","author":"Alzubi","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_237","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/MIE.2020.3026837","article-title":"Edge artificial intelligence for industrial internet of things applications: An industrial edge intelligence solution","volume":"15","author":"Foukalas","year":"2021","journal-title":"IEEE Ind. Electron. Mag."},{"key":"ref_238","doi-asserted-by":"crossref","unstructured":"Dora Pravina, C., Buradkar, M.U., Jamal, M.K., Tiwari, A., Mamodiya, U., and Goyal, D. (2022, January 23\u201324). A Sustainable and Secure Cloud resource provisioning system in Industrial Internet of Things (IIoT) based on Image Encryption. Proceedings of the 4th International Conference on Information Management & Machine Intelligence, Jaipur, India.","DOI":"10.1145\/3590837.3590855"},{"key":"ref_239","doi-asserted-by":"crossref","first-page":"750","DOI":"10.1109\/TGCN.2021.3064683","article-title":"Deep-green: A dispersed energy-efficiency computing paradigm for green industrial IoT","volume":"5","author":"Hu","year":"2021","journal-title":"IEEE Trans. Green Commun. Netw."},{"key":"ref_240","doi-asserted-by":"crossref","first-page":"8822786","DOI":"10.1155\/2021\/8822786","article-title":"Research Trends and Performance of IIoT Communication Network-Architectural Layers of Petrochemical Industry 4.0 for Coping with Circular Economy","volume":"2021","author":"Zhao","year":"2021","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"ref_241","doi-asserted-by":"crossref","first-page":"7046","DOI":"10.1109\/TII.2020.2999880","article-title":"A matching game with discard policy for virtual machines placement in hybrid cloud-edge architecture for industrial IoT systems","volume":"16","author":"Fantacci","year":"2020","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_242","doi-asserted-by":"crossref","unstructured":"Jeyalakshmi, J., Rohan, K., Samuel, P., Eugene, B.I., and Vijay, K. (2024). Edge, IIoT with AI: Transforming Industrial Engineering and Minimising Security Threat. Industrial Internet of Things Security, CRC Press.","DOI":"10.1201\/9781003466284-9"}],"container-title":["Big Data and Cognitive Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2504-2289\/9\/2\/44\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:36:21Z","timestamp":1760027781000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2504-2289\/9\/2\/44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,17]]},"references-count":242,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,2]]}},"alternative-id":["bdcc9020044"],"URL":"https:\/\/doi.org\/10.3390\/bdcc9020044","relation":{},"ISSN":["2504-2289"],"issn-type":[{"value":"2504-2289","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,17]]}}}