{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T05:20:36Z","timestamp":1732857636875,"version":"3.30.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T00:00:00Z","timestamp":1732752000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T00:00:00Z","timestamp":1732752000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-024-03461-5","type":"journal-article","created":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T07:48:41Z","timestamp":1732780121000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["BESIEC: An Adaptive Optimized Model for Task Scheduling &amp; Offloading"],"prefix":"10.1007","volume":"5","author":[{"given":"Jayashree","family":"Mohanty","sequence":"first","affiliation":[]},{"given":"Srichandan","family":"Sobhanayak","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,28]]},"reference":[{"issue":"1","key":"3461_CR1","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/s10586-022-03954-z","volume":"27","author":"M Mirzapour-Moshizi","year":"2024","unstructured":"Mirzapour-Moshizi M, Sattari-Naeini V, Molahosseini AS. Application placement in fog-cum-cloud environment based on a low latency policy-making framework. Clust Comput. 2024;27(1):199\u2013217.","journal-title":"Clust Comput"},{"issue":"3","key":"3461_CR2","doi-asserted-by":"publisher","first-page":"1789","DOI":"10.1007\/s11831-022-09852-2","volume":"30","author":"B Magotra","year":"2023","unstructured":"Magotra B, Malhotra D, Dogra AK. Adaptive computational solutions to energy efficiency in cloud computing environment using VM consolidation. Arch Comput Methods Eng. 2023;30(3):1789\u2013818.","journal-title":"Arch Comput Methods Eng"},{"key":"3461_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.123896","volume":"250","author":"H Yuan","year":"2024","unstructured":"Yuan H, Bi J, Wang Z, Yang J, Zhang J. Partial and cost-minimized computation offloading in hybrid edge and cloud systems. Expert Syst Appl. 2024;250: 123896.","journal-title":"Expert Syst Appl"},{"issue":"12","key":"3461_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3571729","volume":"55","author":"R Jeyaraj","year":"2023","unstructured":"Jeyaraj R, Balasubramaniam A. Resource management in cloud and cloud-influenced technologies for internet of things applications. ACM Comput Surv. 2023;55(12):1\u201337.","journal-title":"ACM Comput Surv"},{"issue":"12","key":"3461_CR5","doi-asserted-by":"publisher","first-page":"2554","DOI":"10.3390\/sym14122554","volume":"14","author":"D Kanellopoulos","year":"2022","unstructured":"Kanellopoulos D, Sharma VK. Dynamic load balancing techniques in the IoT: a review. Symmetry. 2022;14(12):2554.","journal-title":"Symmetry"},{"issue":"8","key":"3461_CR6","doi-asserted-by":"publisher","first-page":"2908","DOI":"10.3390\/s22082908","volume":"22","author":"UK Lilhore","year":"2022","unstructured":"Lilhore UK, Imoize AL, Li CT, Simaiya S, Pani SK, Goyal N, Kumar A, Lee CC. Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors. 2022;22(8):2908.","journal-title":"Sensors"},{"key":"3461_CR7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3365930","author":"A Hazarika","year":"2024","unstructured":"Hazarika A, Choudhury N, Nasralla MM, Khattak SBA, Rehman IU. Edge ML technique for smart traffic management in intelligent transportation system. Access. 2024. https:\/\/doi.org\/10.1109\/ACCESS.2024.3365930.","journal-title":"Access"},{"issue":"5","key":"3461_CR8","doi-asserted-by":"publisher","first-page":"3799","DOI":"10.1109\/JIOT.2022.3174469","volume":"10","author":"A Jarwan","year":"2022","unstructured":"Jarwan A, Ibnkahla M. Edge-based federated deep reinforcement learning for IoT traffic management. IEEE Internet Things J. 2022;10(5):3799\u2013813.","journal-title":"IEEE Internet Things J"},{"key":"3461_CR9","doi-asserted-by":"publisher","first-page":"77707","DOI":"10.1109\/ACCESS.2022.3192111","volume":"10","author":"A Ahmed","year":"2022","unstructured":"Ahmed A, Abdullah S, Iftikhar S, Ahmad I, Ajmal S, Hussain Q. A novel blockchain based secured and QoS aware IoT vehicular network in edge cloud computing. IEEE Access. 2022;10:77707\u201322.","journal-title":"IEEE Access"},{"key":"3461_CR10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3374213","author":"M Karakus","year":"2024","unstructured":"Karakus M. GATE-BC: genetic algorithm-powered QoS-aware cross-network traffic engineering in blockchain-enabled SDN. Access. 2024. https:\/\/doi.org\/10.1109\/ACCESS.2024.3374213.","journal-title":"Access"},{"issue":"4","key":"3461_CR11","doi-asserted-by":"publisher","DOI":"10.1002\/ett.4965","volume":"35","author":"A Rahman","year":"2024","unstructured":"Rahman A, Khan MSI, Montieri A, Islam MJ, Karim MR, Hasan M, Kundu D, Nasir MK, Pescap\u00e8 A. BlockSD-5GNet: Enhancing security of 5G network through blockchain-SDN with ML-based bandwidth prediction. Trans Emerg Telecom Tech. 2024;35(4): e4965.","journal-title":"Trans Emerg Telecom Tech"},{"issue":"2","key":"3461_CR12","first-page":"212","volume":"14","author":"P Sen","year":"2024","unstructured":"Sen P, Pandit R, Sarddar D. A survey on methods and apparatus of offloading in mobile cloud computing. Intern J Sys Eng. 2024;14(2):212\u201325.","journal-title":"Intern J Sys Eng"},{"key":"3461_CR13","doi-asserted-by":"publisher","DOI":"10.1002\/9781394175345.ch2","author":"P Sen","year":"2024","unstructured":"Sen P, Islam T, Pandit R, Sarddar D. A comparative review on different techniques of computation offloading in mobile cloud computing. Fog Comp Intel Cloud IoT Sys. 2024. https:\/\/doi.org\/10.1002\/9781394175345.ch2.","journal-title":"Fog Comp Intel Cloud IoT Sys"},{"key":"3461_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2023.103156","volume":"144","author":"Z Liao","year":"2023","unstructured":"Liao Z, Hu W, Huang J, Wang J. Joint multi-user DNN partitioning and task offloading in mobile edge computing. Ad Hoc Netw. 2023;144: 103156.","journal-title":"Ad Hoc Netw"},{"key":"3461_CR15","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.jpdc.2022.10.004","volume":"172","author":"J Chen","year":"2023","unstructured":"Chen J, Deng Q, Yang X. Non-cooperative game algorithms for computation offloading in mobile edge computing environments. J Par Distr Comput. 2023;172:18\u201331.","journal-title":"J Par Distr Comput"},{"issue":"6","key":"3461_CR16","doi-asserted-by":"publisher","first-page":"7795","DOI":"10.1007\/s12652-023-04592-y","volume":"14","author":"A Sarfaraz","year":"2023","unstructured":"Sarfaraz A, Chakrabortty RK, Essam DL. Reputation based proof of cooperation: an efficient and scalable consensus algorithm for supply chain applications. J Ambient Intell Humaniz Comput. 2023;14(6):7795\u2013811.","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"1","key":"3461_CR17","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.icte.2022.11.007","volume":"9","author":"T Zhang","year":"2023","unstructured":"Zhang T, Huang Z. FPoR: Fair proof-of-reputation consensus for blockchain. ICT Express. 2023;9(1):45\u201350.","journal-title":"ICT Express"},{"key":"3461_CR18","doi-asserted-by":"publisher","first-page":"42163","DOI":"10.1109\/ACCESS.2024.3378271","volume":"12","author":"J Buzzio-Garc\u00eda","year":"2024","unstructured":"Buzzio-Garc\u00eda J, Vergara J, R\u00edos-Guiral S, Garz\u00f3n C, Guti\u00e9rrez S, Botero JF, Quiroz-Arroyo JL, P\u00e9rez-D\u00edaz JA. Exploring traffic patterns through network programmability: introducing sdnflow, a comprehensive openflow-based statistics dataset for attack detection. IEEE Access. 2024;12:42163\u201380.","journal-title":"IEEE Access"},{"key":"3461_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2023.109642","volume":"225","author":"H Zhou","year":"2023","unstructured":"Zhou H, Zheng Y, Jia X, Shu J. Collaborative prediction and detection of DDoS attacks in edge computing: A deep learning-based approach with distributed SDN. Comput Netw. 2023;225: 109642.","journal-title":"Comput Netw"},{"key":"3461_CR20","doi-asserted-by":"crossref","unstructured":"Gawas, M. and Govekar, S., 2023. Energy efficient Qos aware decentralized blockchain framework for fog computing.","DOI":"10.21203\/rs.3.rs-1387452\/v1"},{"issue":"14","key":"3461_CR21","doi-asserted-by":"publisher","first-page":"5275","DOI":"10.3390\/en16145275","volume":"16","author":"R Roux","year":"2023","unstructured":"Roux R, Olwal TO, Chowdhury DS. Software defined networking architecture for energy transaction in smart microgrid systems. Energies. 2023;16(14):5275.","journal-title":"Energies"},{"issue":"1","key":"3461_CR22","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1186\/s13677-024-00589-w","volume":"13","author":"G Huang","year":"2024","unstructured":"Huang G, Ullah I, Huang H, Kim KT. Predictive mobility and cost-aware flow placement in SDN-based IoT networks: a Q-learning approach. J Cloud Comp. 2024;13(1):26.","journal-title":"J Cloud Comp"},{"key":"3461_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-017-0677-z","author":"AA Diro","year":"2018","unstructured":"Diro AA, Reda HT, Chilamkurti N. Differential flow space allocation scheme in SDN based fog computing for IoT applications. J Amb Intel Human Comp. 2018. https:\/\/doi.org\/10.1007\/s12652-017-0677-z.","journal-title":"J Amb Intel Human Comp"},{"key":"3461_CR24","doi-asserted-by":"publisher","first-page":"36029","DOI":"10.1109\/ACCESS.2020.2974750","volume":"8","author":"YLiu, T., Wu, J., Chen, L., Wu, Y.","year":"2020","unstructured":"YLiu, T., Wu, J., Chen, L., Wu, Y. and Li, Y.,. Smart contract-based long-term auction for mobile blockchain computation offloading. IEEE Access. 2020;8:36029\u201342.","journal-title":"IEEE Access"},{"key":"3461_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120530","volume":"668","author":"J Li","year":"2024","unstructured":"Li J, Zhu M, Liu J, Liu W, Huang B, Liu R. Blockchain-based reliable task offloading framework for edge-cloud cooperative workflows in IoMT. Inf Sci. 2024;668: 120530.","journal-title":"Inf Sci"},{"key":"3461_CR26","unstructured":"Floodlight. Accessed: Jan. 20, 2024. [Online]. https:\/\/github.com\/floodlight\/floodlight"},{"issue":"1","key":"3461_CR27","doi-asserted-by":"publisher","first-page":"680","DOI":"10.3390\/smartcities7010028","volume":"7","author":"GI Arcas","year":"2024","unstructured":"Arcas GI, Cioara T, Anghel I, Lazea D, Hangan A. Edge offloading in smart grid. Smart Cities. 2024;7(1):680\u2013711.","journal-title":"Smart Cities"},{"issue":"23","key":"3461_CR28","doi-asserted-by":"publisher","first-page":"20472","DOI":"10.1109\/JIOT.2023.3287737","volume":"10","author":"S Zhang","year":"2023","unstructured":"Zhang S, Liu A, Han C, Liang X, Xu X, Wang G. Multiagent reinforcement learning-based orbital edge offloading in SAGIN supporting Internet of Remote Things. IEEE Internet Things J. 2023;10(23):20472\u201383.","journal-title":"IEEE Internet Things J"},{"key":"3461_CR29","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2023.3319816","author":"G Fang","year":"2023","unstructured":"Fang G, Zhou R, Li X, Huang H, Li Z. A cross-edge offloading framework for green MEC systems. IEEE Trans Cons Elect. 2023. https:\/\/doi.org\/10.1109\/TCE.2023.3319816.","journal-title":"IEEE Trans Cons Elect"},{"issue":"2","key":"3461_CR30","doi-asserted-by":"publisher","first-page":"1199","DOI":"10.1109\/COMST.2023.3239579","volume":"25","author":"B Kar","year":"2023","unstructured":"Kar B, Yahya W, Lin YD, Ali A. Offloading using traditional optimization and machine learning in federated cloud\u2013edge\u2013fog systems: A survey. IEEE Com Survey Tutor. 2023;25(2):1199\u2013226.","journal-title":"IEEE Com Survey Tutor"},{"issue":"4","key":"3461_CR31","doi-asserted-by":"publisher","first-page":"2598","DOI":"10.1109\/TNSE.2020.2988052","volume":"7","author":"T Wang","year":"2020","unstructured":"Wang T, Liang Y, Zhang Y, Zheng X, Arif M, Wang J, Jin Q. An intelligent dynamic offloading from cloud to edge for smart iot systems with big data. IEEE Transact Network Sci Eng. 2020;7(4):2598\u2013607.","journal-title":"IEEE Transact Network Sci Eng"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-03461-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-024-03461-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-03461-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T09:22:04Z","timestamp":1732785724000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-024-03461-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,28]]},"references-count":31,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["3461"],"URL":"https:\/\/doi.org\/10.1007\/s42979-024-03461-5","relation":{},"ISSN":["2661-8907"],"issn-type":[{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,28]]},"assertion":[{"value":"25 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 October 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 November 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"We have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}},{"value":"Since we have developed our model, there is no need to obtain consent from others.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed Consent"}},{"value":"We are human only for research.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Research Involving Humans and \/or Animals"}}],"article-number":"1099"}}