{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T10:27:32Z","timestamp":1753439252115,"version":"3.37.3"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,9,26]],"date-time":"2023-09-26T00:00:00Z","timestamp":1695686400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,9,26]],"date-time":"2023-09-26T00:00:00Z","timestamp":1695686400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012165","name":"Key Technologies Research and Development Program","doi-asserted-by":"publisher","award":["2022YFB3305500"],"award-info":[{"award-number":["2022YFB3305500"]}],"id":[{"id":"10.13039\/501100012165","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61832004","62102080","62273089"],"award-info":[{"award-number":["61832004","62102080","62273089"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1007\/s13042-023-01962-y","type":"journal-article","created":{"date-parts":[[2023,9,26]],"date-time":"2023-09-26T10:02:37Z","timestamp":1695722557000},"page":"1183-1199","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Entropy based swarm intelligent searching for scheduling deadline constrained workflows in hybrid cloud"],"prefix":"10.1007","volume":"15","author":[{"given":"He","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3201-0038","authenticated-orcid":false,"given":"Xiaoping","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jingwen","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Long","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,26]]},"reference":[{"issue":"2","key":"1962_CR1","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1109\/TASE.2013.2272758","volume":"11","author":"X Zuo","year":"2014","unstructured":"Zuo X, Zhang G, Tan W (2014) Self-adaptive learning PSO-based deadline constrained task scheduling for hybrid IAAS cloud. IEEE Trans Autom Sci Eng 11(2):564\u2013573","journal-title":"IEEE Trans Autom Sci Eng"},{"issue":"1","key":"1962_CR2","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1109\/TASE.2016.2526781","volume":"14","author":"H Yuan","year":"2017","unstructured":"Yuan H, Bi J, Tan W (2017) Temporal task scheduling with constrained service delay for profit maximization in hybrid clouds. IEEE Trans Autom Sci Eng 14(1):337\u2013348","journal-title":"IEEE Trans Autom Sci Eng"},{"key":"1962_CR3","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2023.3283509","author":"Q Liu","year":"2023","unstructured":"Liu Q, Zeng L, Bilal M, Song H, Liu X, Zhang Y, Cao X (2023) A multi-swarm PSO approach to large-scale task scheduling in a sustainable supply chain datacenter. IEEE Trans Green Commun Netw. https:\/\/doi.org\/10.1109\/TGCN.2023.3283509","journal-title":"IEEE Trans Green Commun Netw"},{"issue":"3","key":"1962_CR4","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1109\/TPDS.2021.3100298","volume":"33","author":"X Chen","year":"2022","unstructured":"Chen X, Zhang J, Lin B, Chen Z, Wolter K, Min G (2022) Energy-efficient offloading for DNN-based smart IoT systems in cloud-edge environments. IEEE Trans Parallel Distrib Syst 33(3):683\u2013697","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"1962_CR5","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3224169","author":"B Zhao","year":"2022","unstructured":"Zhao B, Liu X, Song A, Chen W-N, Lai K-K, Zhang J, Deng RH (2022) Primpso: a privacy-preserving multiagent particle swarm optimization algorithm. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/TCYB.2022.3224169","journal-title":"IEEE Trans Cybern"},{"key":"1962_CR6","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2023.3269144","author":"L Yang","year":"2023","unstructured":"Yang L, Xia Y, Ye L, Gao R, Zhan Y (2023) A fully hybrid algorithm for deadline constrained workflow scheduling in clouds. IEEE Trans Cloud Comput. https:\/\/doi.org\/10.1109\/TCC.2023.3269144","journal-title":"IEEE Trans Cloud Comput"},{"issue":"6","key":"1962_CR7","doi-asserted-by":"publisher","first-page":"2715","DOI":"10.1109\/TCYB.2019.2933499","volume":"50","author":"Z-J Wang","year":"2020","unstructured":"Wang Z-J, Zhan Z-H, Yu W-J, Lin Y, Zhang J, Gu T-L, Zhang J (2020) Dynamic group learning distributed particle swarm optimization for large-scale optimization and its application in cloud workflow scheduling. IEEE Trans Cybern 50(6):2715\u20132729","journal-title":"IEEE Trans Cybern"},{"key":"1962_CR8","doi-asserted-by":"crossref","unstructured":"Chopra N, Singh S (2013) Heft based workflow scheduling algorithm for cost optimization within deadline in hybrid clouds. In: 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT), pp 1\u20136","DOI":"10.1109\/ICCCNT.2013.6726627"},{"issue":"3","key":"1962_CR9","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1007\/s13174-011-0032-0","volume":"2","author":"LF Bittencourt","year":"2011","unstructured":"Bittencourt LF (2011) Hcoc: a cost optimization algorithm for workflow scheduling in hybrid clouds. J Internet Serv Appl 2(3):207\u2013227","journal-title":"J Internet Serv Appl"},{"issue":"4","key":"1962_CR10","doi-asserted-by":"publisher","first-page":"2013","DOI":"10.1007\/s10586-018-2841-4","volume":"21","author":"C Li","year":"2018","unstructured":"Li C, Tang J, Luo Y (2018) Towards operational cost minimization for cloud bursting with deadline constraints in hybrid clouds. Clust Comput 21(4):2013\u20132029","journal-title":"Clust Comput"},{"issue":"1","key":"1962_CR11","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/s10515-019-00252-8","volume":"26","author":"C Li","year":"2019","unstructured":"Li C, Tang J, Luo Y (2019) Cost-aware scheduling for ensuring software performance and reliability under heterogeneous workloads of hybrid cloud. Autom Softw Eng 26(1):125\u2013159","journal-title":"Autom Softw Eng"},{"issue":"1","key":"1962_CR12","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1504\/IJGUC.2019.097221","volume":"10","author":"S Bosmans","year":"2019","unstructured":"Bosmans S, Maricaux G, Van Der Schueren F, Hellinckx P (2019) Cost-aware hybrid cloud scheduling of parameter sweep calculations using predictive algorithms. Int J Grid Util Comput 10(1):63\u201375","journal-title":"Int J Grid Util Comput"},{"issue":"6","key":"1962_CR13","doi-asserted-by":"publisher","first-page":"1401","DOI":"10.1109\/TPDS.2018.2793254","volume":"29","author":"J Zhu","year":"2018","unstructured":"Zhu J, Li X, Ruiz R, Xu X (2018) Scheduling stochastic multi-stage jobs to elastic hybrid cloud resources. IEEE Trans Parallel Distrib Syst 29(6):1401\u20131415","journal-title":"IEEE Trans Parallel Distrib Syst"},{"issue":"1","key":"1962_CR14","doi-asserted-by":"publisher","first-page":"7","DOI":"10.7763\/IJCTE.2016.V8.1012","volume":"8","author":"V Leena","year":"2016","unstructured":"Leena V, Ajeena Beegom AS, Rajasree M (2016) Genetic algorithm based bi-objective task scheduling in hybrid cloud platform. Int J Comput Theory Eng 8(1):7\u201313","journal-title":"Int J Comput Theory Eng"},{"issue":"11","key":"1962_CR15","doi-asserted-by":"publisher","first-page":"3064","DOI":"10.1109\/TC.2015.2401021","volume":"64","author":"M Jing","year":"2015","unstructured":"Jing M, Li K, Ouyang A, Li K (2015) A profit maximization scheme with guaranteed quality of service in cloud computing. IEEE Trans Comput 64(11):3064\u20133078","journal-title":"IEEE Trans Comput"},{"issue":"2","key":"1962_CR16","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1109\/TSG.2013.2237929","volume":"4","author":"M Ghamkhari","year":"2013","unstructured":"Ghamkhari M, Mohsenian-Rad H (2013) Energy and performance management of green data centers: a profit maximization approach. IEEE Trans Smart Grid 4(2):1017\u20131025","journal-title":"IEEE Trans Smart Grid"},{"issue":"5","key":"1962_CR17","doi-asserted-by":"publisher","first-page":"1378","DOI":"10.1109\/TNET.2012.2226216","volume":"21","author":"M Lin","year":"2013","unstructured":"Lin M, Wierman A, Andrew LLH, Thereska E (2013) Dynamic right-sizing for power-proportional data centers. IEEE\/ACM Trans Netw 21(5):1378\u20131391","journal-title":"IEEE\/ACM Trans Netw"},{"issue":"1","key":"1962_CR18","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1109\/TSC.2016.2596289","volume":"12","author":"NK Sharma","year":"2016","unstructured":"Sharma NK, Reddy GRM (2016) Multi-objective energy efficient virtual machines allocation at the cloud data center. IEEE Trans Serv Comput 12(1):158\u2013171","journal-title":"IEEE Trans Serv Comput"},{"issue":"1","key":"1962_CR19","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/TPDS.2017.2745571","volume":"29","author":"D Cheng","year":"2018","unstructured":"Cheng D, Zhou X, Lama P, Ji M, Jiang C (2018) Energy efficiency aware task assignment with dvfs in heterogeneous hadoop clusters. IEEE Trans Parallel Distrib Syst 29(1):70\u201382","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"1962_CR20","doi-asserted-by":"crossref","unstructured":"Stavrinides GL, Karatza HD (2018) Energy-aware scheduling of real-time workflow applications in clouds utilizing dvfs and approximate computations. In: 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, pp 33\u201340","DOI":"10.1109\/FiCloud.2018.00013"},{"issue":"5","key":"1962_CR21","doi-asserted-by":"publisher","first-page":"4117","DOI":"10.3906\/elk-1505-112","volume":"24","author":"M Sajid","year":"2016","unstructured":"Sajid M, Raza Z (2016) Energy-aware stochastic scheduling model with precedence constraints on dvfs-enabled processors. Turk J Electr Eng Comput Sci 24(5):4117\u20134128","journal-title":"Turk J Electr Eng Comput Sci"},{"key":"1962_CR22","unstructured":"Xu Z, Liang W, Xia Q (2015) Electricity cost minimization in distributed clouds by exploring heterogeneity of cloud resources and user demands. In: 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS), pp 388\u2013395"},{"issue":"99","key":"1962_CR23","first-page":"1","volume":"13","author":"Z Wei","year":"2017","unstructured":"Wei Z, Wen Y, Lai LL, Fang L, Rui F, Wei Z, Wen Y, Lai LL, Fang L, Rui F (2017) Electricity cost minimization for interruptible workload in datacenter servers. IEEE Trans Serv Comput 13(99):1\u20131","journal-title":"IEEE Trans Serv Comput"},{"issue":"6","key":"1962_CR24","doi-asserted-by":"publisher","first-page":"1149","DOI":"10.1109\/TPDS.2012.201","volume":"24","author":"Y Guo","year":"2013","unstructured":"Guo Y, Fang Y (2013) Electricity cost saving strategy in data centers by using energy storage. IEEE Trans Parallel Distrib Syst 24(6):1149\u20131160","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"1962_CR25","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.jpdc.2019.03.019","volume":"130","author":"J Huang","year":"2019","unstructured":"Huang J, Liu Y, Li R, Li K, An J, Bai Y, Yang F, Xie G (2019) Optimal power allocation and load balancing for non-dedicated heterogeneous distributed embedded computing systems. J Parallel Distrib Comput 130:24\u201336","journal-title":"J Parallel Distrib Comput"},{"issue":"9","key":"1962_CR26","doi-asserted-by":"publisher","first-page":"3373","DOI":"10.1007\/s11227-015-1438-4","volume":"71","author":"F Wu","year":"2015","unstructured":"Wu F, Wu Q, Tan Y (2015) Workflow scheduling in cloud: a survey. J Supercomput 71(9):3373\u20133418","journal-title":"J Supercomput"},{"key":"1962_CR27","doi-asserted-by":"crossref","unstructured":"Chen L, Guo Y, Li X, Ruiz R (2016) Hybrid resource provisioning for workflow scheduling in cloud computing. In: International Conference on Human Centered Computing, pp. 34\u201346","DOI":"10.1007\/978-3-319-31854-7_4"},{"issue":"1","key":"1962_CR28","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.future.2012.05.004","volume":"29","author":"S Abrishami","year":"2013","unstructured":"Abrishami S, Naghibzadeh M, Epema HJD (2013) Deadline-constrained workflow scheduling algorithms for infrastructure; as a service clouds. Future Gener Comput Syst 29(1):158\u2013169","journal-title":"Future Gener Comput Syst"},{"issue":"3","key":"1962_CR29","doi-asserted-by":"publisher","first-page":"1068","DOI":"10.1109\/TII.2017.2676183","volume":"13","author":"G Xie","year":"2017","unstructured":"Xie G, Jiang J, Liu Y, Li R, Li K (2017) Minimizing energy consumption of real-time parallel applications using downward and upward approaches on heterogeneous systems. IEEE Trans Industr Inf 13(3):1068\u20131078","journal-title":"IEEE Trans Industr Inf"},{"issue":"3","key":"1962_CR30","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 MY (2002) Performance-effective and low-complexity task scheduling for heterogeneous computing. IEEE Trans Parallel Distrib Syst 13(3):260\u2013274","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"1962_CR31","doi-asserted-by":"crossref","unstructured":"Zhan Z-H, Xiao J, Zhang J, Chen W-n (2007) Adaptive control of acceleration coefficients for particle swarm optimization based on clustering analysis. In: 2007 IEEE Congress on Evolutionary Computation, pp. 3276\u20133282","DOI":"10.1109\/CEC.2007.4424893"},{"key":"1962_CR32","unstructured":"Shi Y, et\u00a0al. (2001) Particle swarm optimization: developments, applications and resources. In: Proceedings of the 2001 congress on evolutionary computation (IEEE Cat. No. 01TH8546), vol.\u00a01, pp 81\u201386"},{"issue":"6","key":"1962_CR33","doi-asserted-by":"publisher","first-page":"1362","DOI":"10.1109\/TSMCB.2009.2015956","volume":"39","author":"Z Zhan","year":"2009","unstructured":"Zhan Z, Zhang J (2009) Adaptive particle swarm optimization. IEEE Trans Syst Man Cybern Part B Cybern 39(6):1362\u20131381","journal-title":"IEEE Trans Syst Man Cybern Part B Cybern"},{"key":"1962_CR34","doi-asserted-by":"crossref","unstructured":"Chen W, Deelman E (2012) Workflowsim: a toolkit for simulating scientific workflows in distributed environments. In: 2012 IEEE 8th International Conference on E-Science, pp 1\u20138","DOI":"10.1109\/eScience.2012.6404430"},{"issue":"1","key":"1962_CR35","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1002\/spe.995","volume":"41","author":"RN Calheiros","year":"2011","unstructured":"Calheiros RN, Ranjan R, Beloglazov A, De Rose CA, Buyya R (2011) Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw Pract Exp 41(1):23\u201350","journal-title":"Softw Pract Exp"},{"issue":"3","key":"1962_CR36","first-page":"219","volume":"13","author":"E Deelman","year":"2005","unstructured":"Deelman E, Singh G, Su M-H, Blythe J, Gil Y, Kesselman C, Mehta G, Vahi K, Berriman GB, Good J et al (2005) Pegasus: a framework for mapping complex scientific workflows onto distributed systems. Sci Program 13(3):219\u2013237","journal-title":"Sci Program"},{"key":"1962_CR37","doi-asserted-by":"crossref","unstructured":"Doctor S, Venayagamoorthy GK, Gudise VG (2004) Optimal pso for collective robotic search applications. In: Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No. 04TH8753), vol.\u00a02, pp 1390\u20131395","DOI":"10.1109\/CEC.2004.1331059"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-023-01962-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-023-01962-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-023-01962-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,10]],"date-time":"2024-03-10T17:20:27Z","timestamp":1710091227000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-023-01962-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,26]]},"references-count":37,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["1962"],"URL":"https:\/\/doi.org\/10.1007\/s13042-023-01962-y","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2023,9,26]]},"assertion":[{"value":"12 February 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 August 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 September 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}