{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T11:28:08Z","timestamp":1782646088862,"version":"3.54.5"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T00:00:00Z","timestamp":1720051200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T00:00:00Z","timestamp":1720051200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012491","name":"Science and Technology Development Center, Ministry of Education","doi-asserted-by":"publisher","award":["Grant No.2020QT06"],"award-info":[{"award-number":["Grant No.2020QT06"]}],"id":[{"id":"10.13039\/501100012491","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Defense Basic Research Program of China","award":["Grant No. JCKY2021606B002"],"award-info":[{"award-number":["Grant No. JCKY2021606B002"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Netw"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s11276-024-03811-4","type":"journal-article","created":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T02:01:52Z","timestamp":1720058512000},"page":"1005-1019","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["A novel multi-objective optimized DAG task scheduling strategy for fog computing based on container migration mechanism"],"prefix":"10.1007","volume":"31","author":[{"given":"Wenjia","family":"Deng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1400-0960","authenticated-orcid":false,"given":"Chuan","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,4]]},"reference":[{"key":"3811_CR1","doi-asserted-by":"publisher","unstructured":"Al-Sarawi, S., Anbar, M., Abdullah, R., & Al Hawari A. B. (2020). Internet of Things market analysis forecasts, 2020\u20132030. In 2020 Fourth world conference on smart trends in systems, security and sustainability (WorldS4), pp. 449\u2013453. https:\/\/doi.org\/10.1109\/WorldS450073.2020.9210375","DOI":"10.1109\/WorldS450073.2020.9210375"},{"issue":"14","key":"3811_CR2","doi-asserted-by":"publisher","first-page":"11016","DOI":"10.1109\/JIOT.2021.3051414","volume":"8","author":"RA Khalil","year":"2021","unstructured":"Khalil, R. A., Saeed, N., Masood, M., Fard, Y. M., Alouini, M. S., & Al-Naffouri, T. Y. (2021). Deep learning in the industrial Internet of Things potentials challenges and emerging applications. IEEE Internet of Things Journal, 8(14), 11016\u201311104. https:\/\/doi.org\/10.1109\/JIOT.2021.3051414","journal-title":"IEEE Internet of Things Journal"},{"issue":"5","key":"3811_CR3","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1109\/JIOT.2016.2579198","volume":"3","author":"W Shi","year":"2016","unstructured":"Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. Internet of Things Journal, IEEE, 3(5), 637\u2013646. https:\/\/doi.org\/10.1109\/JIOT.2016.2579198","journal-title":"Internet of Things Journal, IEEE"},{"key":"3811_CR4","doi-asserted-by":"publisher","unstructured":"Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012). Fog computing and its role in the Internet of Things. In Proceedings of the edition of the MCC workshop on mobile cloud computing. ACM, pp. 13\u201316. https:\/\/doi.org\/10.1145\/2342509.2342513","DOI":"10.1145\/2342509.2342513"},{"issue":"5","key":"3811_CR5","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1145\/2677046.2677052","volume":"44","author":"LM Vaquero","year":"2014","unstructured":"Vaquero, L. M., & Rodero-Merino, L. (2014). Finding your way in the fog: Towards a comprehensive definition of fog computing. ACM Sigcomm Computer Communication Review, 44(5), 27\u201332. https:\/\/doi.org\/10.1145\/2677046.2677052","journal-title":"ACM Sigcomm Computer Communication Review"},{"issue":"11","key":"3811_CR6","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1109\/CC.2017.8233651","volume":"4","author":"Q Zhu","year":"2017","unstructured":"Zhu, Q., Si, B., Yang, F., & Ma, Y. (2017). Task offloading decision in fog computing system. China Communications, 4(11), 59\u201368. https:\/\/doi.org\/10.1109\/CC.2017.8233651","journal-title":"China Communications"},{"key":"3811_CR7","doi-asserted-by":"publisher","first-page":"25445","DOI":"10.1109\/ACCESS.2017.2766923","volume":"5","author":"Y Liu","year":"2017","unstructured":"Liu, Y., Fieldsend, J. E., & Min, G. (2017). A framework of fog computing: Architecture, challenges and optimization. IEEE Access, 5, 25445\u201325454. https:\/\/doi.org\/10.1109\/ACCESS.2017.2766923","journal-title":"IEEE Access"},{"key":"3811_CR8","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2925023","author":"T Qiu","year":"2019","unstructured":"Qiu, T., Li, B., Zhou, X., Song, H., Lee, I., & Lloret, J. (2019). A novel shortcut addition algorithm with particle swarm for multisink Internet of Things. IEEE Transactions on Industrial Informatics. https:\/\/doi.org\/10.1109\/TII.2019.2925023","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"3811_CR9","doi-asserted-by":"publisher","unstructured":"Liu, Z., & Zhao, J (2020). Optimized task offloading policy in given sequence in mobile edge computing. In International conference on computer and communications (ICCC) (pp. 1656\u20131660). IEEE. https:\/\/doi.org\/10.1109\/ICCC51575.2020.9345135.","DOI":"10.1109\/ICCC51575.2020.9345135"},{"issue":"3","key":"3811_CR10","doi-asserted-by":"publisher","first-page":"1826","DOI":"10.1109\/COMST.2018.2814571","volume":"20","author":"M Mukherjee","year":"2018","unstructured":"Mukherjee, M., Lei, S., & Di, W. (2018). Survey of fog computing: Fundamental, network applications, and research challenges. IEEE Communications Surveys & Tutorials, 20(3), 1826\u20131857. https:\/\/doi.org\/10.1109\/COMST.2018.2814571","journal-title":"IEEE Communications Surveys & Tutorials"},{"key":"3811_CR11","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.3009103","author":"T Qiu","year":"2020","unstructured":"Qiu, T., Chi, J., Zhou, X., Ning, Z., Atiquzzaman, M., & Wu, D. O. (2020). Edge computing in industrial Internet of Things: Architecture, advances and challenges. IEEE Communications Surveys & Tutorials. https:\/\/doi.org\/10.1109\/COMST.2020.3009103","journal-title":"IEEE Communications Surveys & Tutorials"},{"key":"3811_CR12","doi-asserted-by":"publisher","unstructured":"Pham, X. Q., & Huh, E. N. (2016). Towards task scheduling in a cloud-fog computing system. In 2016 18TH Asia\u2013Pacific network operations and management symposium (APNOMS). IEEE. https:\/\/doi.org\/10.1109\/APNOMS.2016.7737240","DOI":"10.1109\/APNOMS.2016.7737240"},{"issue":"3","key":"3811_CR13","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1016\/S0022-0000(75)80008-0","volume":"10","author":"JD Ullman","year":"1975","unstructured":"Ullman, J. D. (1975). NP-complete scheduling problems. Journal of Computer and System Sciences, 10(3), 384\u2013393. https:\/\/doi.org\/10.1016\/S0022-0000(75)80008-0","journal-title":"Journal of Computer and System Sciences"},{"key":"3811_CR14","doi-asserted-by":"publisher","DOI":"10.1145\/349452","author":"SR Mohan","year":"2022","unstructured":"Mohan, S. R., Kumar, A. L., & Sikka, G. (2022). Towards metaheuristic scheduling techniques in cloud and fog: An extensive taxonomic review. ACM Computing Surveys (CSUR). https:\/\/doi.org\/10.1145\/349452","journal-title":"ACM Computing Surveys (CSUR)"},{"issue":"6","key":"3811_CR15","doi-asserted-by":"publisher","first-page":"2370","DOI":"10.1016\/j.jksuci.2020.11.002","volume":"34","author":"SA Alsaidy","year":"2022","unstructured":"Alsaidy, S. A., Abbood, A. D., & Sahib, M. A. (2022). Heuristic initialization of PSO task scheduling algorithm in cloud computing. Journal of King Saud University-Computer and Information Sciences, 34(6), 2370\u20132382.","journal-title":"Journal of King Saud University-Computer and Information Sciences"},{"key":"3811_CR16","doi-asserted-by":"publisher","first-page":"e5581","DOI":"10.1002\/cpe.5581","volume":"32","author":"J Bushra","year":"2020","unstructured":"Bushra, J., Mohammad, S., Israr, A., Atta, U., Kashif, M., & Humaira, I. (2020). A job scheduling algorithm for delay and performance optimization in fog computing. Concurrency Computation Practice Experience, 32, e5581. https:\/\/doi.org\/10.1002\/cpe.5581","journal-title":"Concurrency Computation Practice Experience"},{"key":"3811_CR17","doi-asserted-by":"publisher","unstructured":"Bala, M. I., & Chishti, M. A. (2020). Offloading in cloud and fog hybrid infrastructure using iFogSim. In 10th International conference on cloud computing, data science & engineering (confluence). https:\/\/doi.org\/10.1109\/Confluence47617.2020.9057799","DOI":"10.1109\/Confluence47617.2020.9057799"},{"key":"3811_CR18","doi-asserted-by":"publisher","first-page":"e6163","DOI":"10.1002\/cpe.6163","volume":"33","author":"P Narayana","year":"2021","unstructured":"Narayana, P., Chandrashekar, J., & Premchand, P. (2021). Optimizing resource scheduling based on extended particle swarm optimization in fog computing environments. Concurrency and Computation Practiceand Experience, 33, e6163. https:\/\/doi.org\/10.1002\/cpe.6163","journal-title":"Concurrency and Computation Practiceand Experience"},{"issue":"3","key":"3811_CR19","doi-asserted-by":"publisher","first-page":"4236","DOI":"10.1007\/s11227-021-04018-6","volume":"78","author":"AM Yadav","year":"2022","unstructured":"Yadav, A. M., Tripathi, K. N., & Sharma, S. C. (2022). A bi-objective task scheduling approach in fog computing using hybrid fireworks algorithm. The Journal of Supercomputing, 78(3), 4236\u20134260. https:\/\/doi.org\/10.1007\/s11227-021-04018-6","journal-title":"The Journal of Supercomputing"},{"key":"3811_CR20","doi-asserted-by":"publisher","unstructured":"Lv, H., & Zhang, Z. (2021). Workflow task scheduling optimization strategy in moving edge computing environment. In International symposium on computer engineering and intelligent communications (ISCEIC), pp. 7\u201311. https:\/\/doi.org\/10.1109\/ISCEIC53685.2021.00009","DOI":"10.1109\/ISCEIC53685.2021.00009"},{"key":"3811_CR21","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/JSTSP.2023.3343626","volume":"18","author":"X Huang","year":"2023","unstructured":"Huang, X., Wu, W., Hu, S., Li, M., Zhou, C., & Shen, X. S. (2023). Digital twin based user-centric resource management for multicast short video streaming. IEEE Journal of Selected Topics in Signal Processing, 18, 50\u201365.","journal-title":"IEEE Journal of Selected Topics in Signal Processing"},{"issue":"4","key":"3811_CR22","doi-asserted-by":"publisher","first-page":"3266","DOI":"10.1109\/TNSE.2020.3021792","volume":"7","author":"A Hazra","year":"2020","unstructured":"Hazra, A., Adhikari, M., Amgoth, T., et al. (2020). Joint computation offloading and scheduling optimization of IoT applications in fog networks. IEEE Transactions on Network Science and Engineering, 7(4), 3266\u20133278. https:\/\/doi.org\/10.1109\/TNSE.2020.3021792","journal-title":"IEEE Transactions on Network Science and Engineering"},{"issue":"3","key":"3811_CR23","doi-asserted-by":"publisher","first-page":"10","DOI":"10.3969\/j.issn.1003-6970.2015.03.002","volume":"36","author":"Y Ma","year":"2015","unstructured":"Ma, Y., & Huang, G. (2015). Research on application software virtualization based on docker. Software, 36(3), 10\u201314. https:\/\/doi.org\/10.3969\/j.issn.1003-6970.2015.03.002","journal-title":"Software"},{"issue":"5","key":"3811_CR24","doi-asserted-by":"publisher","first-page":"1337","DOI":"10.3724\/SP.J.1001.2009.03493","volume":"20","author":"K Chen","year":"2009","unstructured":"Chen, K., & Zheng, W. (2009). Cloud computing: System examples and research status. Journal of software, 20(5), 1337\u20131348.","journal-title":"Journal of software"},{"key":"3811_CR25","doi-asserted-by":"publisher","first-page":"68028","DOI":"10.1109\/ACCESS.2021.3077550","volume":"9","author":"O Oleghe","year":"2021","unstructured":"Oleghe, O. (2021). Container placement and migration in edge computing: Concept and scheduling models. IEEE Access, 9, 68028\u201368043. https:\/\/doi.org\/10.1109\/ACCESS.2021.3077550","journal-title":"IEEE Access"},{"issue":"1","key":"3811_CR26","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s10586-020-03075-5","volume":"24","author":"L Abualigah","year":"2021","unstructured":"Abualigah, L., & Diabat, A. (2021). A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments. Cluster Computing, 24(1), 205\u2013223.","journal-title":"Cluster Computing"},{"issue":"3","key":"3811_CR27","doi-asserted-by":"publisher","first-page":"2231","DOI":"10.1007\/s11277-021-09018-6","volume":"126","author":"S Mangalampalli","year":"2022","unstructured":"Mangalampalli, S., Swain, S. K., & Mangalampalli, V. K. (2022). Prioritized energy efficient task scheduling algorithm in cloud computing using whale optimization algorithm. Wireless Personal Communications, 126(3), 2231\u20132247.","journal-title":"Wireless Personal Communications"},{"key":"3811_CR28","doi-asserted-by":"publisher","first-page":"114230","DOI":"10.1016\/j.eswa.2020.114230","volume":"168","author":"SE Shukri","year":"2021","unstructured":"Shukri, S. E., Al-Sayyed, R., Hudaib, A., & Mirjalili, S. (2021). Enhanced multi-verse optimizer for task scheduling in cloud computing environments. Expert Systems with Applications, 168, 114230.","journal-title":"Expert Systems with Applications"},{"key":"3811_CR29","doi-asserted-by":"publisher","first-page":"13075","DOI":"10.1007\/s00521-021-06002-w","volume":"33","author":"P Pirozmand","year":"2021","unstructured":"Pirozmand, P., Hosseinabadi, A. A. R., Farrokhzad, M., Sadeghilalimi, M., Mirkamali, S., & Slowik, A. (2021). Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing. Neural Computing and Applications, 33, 13075\u201313088.","journal-title":"Neural Computing and Applications"},{"key":"3811_CR30","doi-asserted-by":"publisher","first-page":"104766","DOI":"10.1016\/j.jpdc.2023.104766","volume":"183","author":"I Behera","year":"2024","unstructured":"Behera, I., & Sobhanayak, S. (2024). Task scheduling optimization in heterogeneous cloud computing environments: A hybrid GA-GWO approach. Journal of Parallel and Distributed Computing, 183, 104766.","journal-title":"Journal of Parallel and Distributed Computing"},{"issue":"5","key":"3811_CR31","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1016\/j.future.2011.04.017","volume":"28","author":"A Beloglazov","year":"2012","unstructured":"Beloglazov, A., Abawajy, J., & Buyya, R. (2012). Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future Generation Computer Systems, 28(5), 755\u2013768. https:\/\/doi.org\/10.1016\/j.future.2011.04.017","journal-title":"Future Generation Computer Systems"},{"issue":"3","key":"3811_CR32","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1109\/71.993206","volume":"13","author":"H Topcuoglu","year":"2002","unstructured":"Topcuoglu, H., Hariri, S., & Wu, M. Y. (2002). Performance-effective and low-complexity task scheduling for heterogeneous computing. IEEE Transactions on Parallel and Distributed Systems, 13(3), 260\u2013274. https:\/\/doi.org\/10.1109\/71.993206","journal-title":"IEEE Transactions on Parallel and Distributed Systems"},{"key":"3811_CR33","doi-asserted-by":"publisher","first-page":"104085","DOI":"10.1109\/ACCESS.2020.2999322","volume":"8","author":"M Barzegaran","year":"2020","unstructured":"Barzegaran, M., Cervin, A., & Pop, P. (2020). Performance optimization of control applications on fog computing platforms using scheduling and isolation. IEEE Access, 8, 104085.","journal-title":"IEEE Access"},{"key":"3811_CR34","doi-asserted-by":"publisher","first-page":"4978","DOI":"10.1109\/JSYST.2023.3272912","volume":"17","author":"CC Hu","year":"2023","unstructured":"Hu, C. C. (2023). Optimization of partially offloading mobile user tasks to fog computing networks. IEEE Systems Journal, 17, 4978.","journal-title":"IEEE Systems Journal"},{"key":"3811_CR35","doi-asserted-by":"publisher","first-page":"6147","DOI":"10.32604\/cmc.2022.023234","volume":"71","author":"S Khan","year":"2022","unstructured":"Khan, S., Shah, I. A., Tairan, N., Shah, H., & Nadeem, M. F. (2022). Optimal resource allocation in fog computing for healthcare applications. Computers. Materials & Continua, 71, 6147\u20136163.","journal-title":"Computers. Materials & Continua"},{"key":"3811_CR36","doi-asserted-by":"crossref","unstructured":"Faticanti, F., De Pellegrini, F., Siracusa, D., Santoro, D., & Cretti, S. (2019) Cutting throughput with the edge: App-aware placement in fog computing. In 2019 6th IEEE international conference on cyber security and cloud computing (CSCloud)\/2019 5th IEEE international conference on edge computing and scalable cloud (EdgeCom) (pp. 196\u2013203). IEEE.","DOI":"10.1109\/CSCloud\/EdgeCom.2019.00026"},{"key":"3811_CR37","doi-asserted-by":"publisher","first-page":"20635","DOI":"10.1109\/ACCESS.2023.3241240","volume":"11","author":"FA Saif","year":"2023","unstructured":"Saif, F. A., Latip, R., Hanapi, Z. M., & Shafinah, K. (2023). Multi-objective grey wolf optimizer algorithm for task scheduling in cloud-fog computing. IEEE Access, 11, 20635\u201320646.","journal-title":"IEEE Access"},{"key":"3811_CR38","doi-asserted-by":"crossref","unstructured":"Huang, X., Lit, M., Wu, W., Zhou, C., & Shen, X. (2023). Digital twin-assisted collaborative transcoding for better user satisfaction in live streaming. In ICC 2023-IEEE international conference on communications (pp. 4051\u20134056). IEEE.","DOI":"10.1109\/ICC45041.2023.10279382"}],"container-title":["Wireless Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-024-03811-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11276-024-03811-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-024-03811-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,14]],"date-time":"2025-02-14T12:15:30Z","timestamp":1739535330000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11276-024-03811-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,4]]},"references-count":38,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["3811"],"URL":"https:\/\/doi.org\/10.1007\/s11276-024-03811-4","relation":{},"ISSN":["1022-0038","1572-8196"],"issn-type":[{"value":"1022-0038","type":"print"},{"value":"1572-8196","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,4]]},"assertion":[{"value":"22 June 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 July 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"There is no conflict of interest for this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}