{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T02:29:53Z","timestamp":1771468193456,"version":"3.50.1"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T00:00:00Z","timestamp":1732838400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T00:00:00Z","timestamp":1732838400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"DOI":"10.1007\/s11063-024-11706-w","type":"journal-article","created":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T15:52:50Z","timestamp":1732895570000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Energy Aware Optimal Virtual Machine Scheduling in Cloud Environment Using Hybridized Egret Swarm with Sea Lion Optimization Algorithm"],"prefix":"10.1007","volume":"56","author":[{"given":"Kapil","family":"Vhatkar","sequence":"first","affiliation":[]},{"given":"Atul B.","family":"Kathole","sequence":"additional","affiliation":[]},{"given":"Savita","family":"Lonare","sequence":"additional","affiliation":[]},{"given":"Nisarg","family":"Gandhewar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,29]]},"reference":[{"key":"11706_CR1","doi-asserted-by":"publisher","first-page":"37178","DOI":"10.1109\/ACCESS.2023.3266294","volume":"11","author":"PV Reddy","year":"2023","unstructured":"Reddy PV, Reddy KG (2023) A multi-objective based scheduling framework for effective resource utilization in cloud computing. IEEE Access 11:37178\u201337193","journal-title":"IEEE Access"},{"key":"11706_CR2","doi-asserted-by":"publisher","first-page":"76939","DOI":"10.1109\/ACCESS.2022.3192628","volume":"10","author":"A Pradhan","year":"2022","unstructured":"Pradhan A, Bisoy SK, Kautish S, Jasser MB, Mohamed AW (2022) Intelligent decision-making of load balancing using deep reinforcement learning and parallel PSO in cloud environment. IEEE Access 10:76939\u201376952","journal-title":"IEEE Access"},{"key":"11706_CR3","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.jpdc.2023.02.003","volume":"176","author":"H Zhao","year":"2023","unstructured":"Zhao H, Feng N, Li J, Zhang G, Wang J, Wang Q, Wan Bo (2023) VM performance-aware virtual machine migration method based on ant colony optimization in cloud environment. J Parallel Distrib Comput 176:17\u201327","journal-title":"J Parallel Distrib Comput"},{"issue":"3","key":"11706_CR4","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/j.jksuci.2018.07.001","volume":"32","author":"MH Shirvani","year":"2020","unstructured":"Shirvani MH, Rahmani AM, Sahafi A (2020) A survey study on virtual machine migration and server consolidation techniques in DVFS-enabled cloud datacenter: taxonomy and challenges. J King Saud Univ Comput Inf Sci 32(3):267\u2013286. https:\/\/doi.org\/10.1016\/j.jksuci.2018.07.001","journal-title":"J King Saud Univ Comput Inf Sci"},{"key":"11706_CR5","doi-asserted-by":"publisher","first-page":"2179","DOI":"10.1007\/s10586-018-2515-2","volume":"22","author":"AM Senthil Kumar","year":"2019","unstructured":"Senthil Kumar AM, Venkatesan M (2019) Task scheduling in a cloud computing environment using HGPSO algorithm. Clust Comput 22:2179\u20132185","journal-title":"Clust Comput"},{"issue":"1","key":"11706_CR6","doi-asserted-by":"publisher","first-page":"126","DOI":"10.14716\/ijtech.v10i1.1972","volume":"10","author":"G Natesan","year":"2019","unstructured":"Natesan G, Chokkalingam A (2019) Optimal task scheduling in the cloud environment using a mean grey wolf optimization algorithm. Int J Technol 10(1):126. https:\/\/doi.org\/10.14716\/ijtech.v10i1.1972","journal-title":"Int J Technol"},{"key":"11706_CR7","doi-asserted-by":"publisher","first-page":"100832","DOI":"10.1016\/j.iot.2023.100832","volume":"23","author":"E Al-Masri","year":"2023","unstructured":"Al-Masri E, Souri A, Mohamed H, Yang W, Olmsted J, Kotevska O (2023) Energy-efficient cooperative resource allocation and task scheduling for internet of things environments. Internet of Things 23:100832","journal-title":"Internet of Things"},{"key":"11706_CR8","doi-asserted-by":"publisher","first-page":"3","DOI":"10.4304\/jnw.7.3.547-553","volume":"7","author":"L Guo","year":"2012","unstructured":"Guo L, Zhao S, Shen S, Jiang C (2012) Task scheduling optimization in cloudcomputing based on heuristic algorithm. J Networks 7:3","journal-title":"J Networks"},{"key":"11706_CR9","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1007\/s10586-019-02983-5","volume":"23","author":"X Huang","year":"2020","unstructured":"Huang X, Li C, Chen H et al (2020) Task scheduling in cloud computing using particle swarm optimization with time varying inertia weight strategies. Clust Comput 23:1137\u20131147","journal-title":"Clust Comput"},{"key":"11706_CR10","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1016\/j.cie.2019.03.006","volume":"130","author":"N Mansouri","year":"2019","unstructured":"Mansouri N, Zade BMH, Javidi MM (2019) Hybrid task scheduling strategy for cloud computing by modified particle swarm optimization and fuzzy theory. Comput Ind Eng 130:597\u2013633","journal-title":"Comput Ind Eng"},{"key":"11706_CR11","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2016.070540","author":"M Habibi","year":"2016","unstructured":"Habibi M, Jafari I (2016) Multi-objective task scheduling in cloud computing using an imperialist competitive algorithm. Int J Adv Comput Sci Appl. https:\/\/doi.org\/10.14569\/IJACSA.2016.070540","journal-title":"Int J Adv Comput Sci Appl"},{"key":"11706_CR12","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/s00521-016-2448-8","volume":"29","author":"SM Abdulhamid","year":"2018","unstructured":"Abdulhamid SM, Abd-Latiff M, Madni SHH et al (2018) Fault tolerance aware scheduling technique for cloud computing environment using dynamic clustering algorithm. Neural Comput Appl 29:279\u2013293","journal-title":"Neural Comput Appl"},{"issue":"6","key":"11706_CR13","first-page":"2370","volume":"34","author":"SA Alsaidy","year":"2022","unstructured":"Alsaidy SA, Abbood AD, Sahib MA (2022) Heuristic initialization of PSO task scheduling algorithm in cloud computing. J King Saud Univ Comput Inf Sci 34(6):2370\u20132382","journal-title":"J King Saud Univ Comput Inf Sci"},{"key":"11706_CR14","doi-asserted-by":"publisher","first-page":"4221","DOI":"10.1007\/s10586-022-03650-y","volume":"25","author":"M Otair","year":"2022","unstructured":"Otair M, Alhmoud A, Jia H et al (2022) Optimized task scheduling in cloud computing using improved multi-verse optimizer. Clust Comput 25:4221\u20134232","journal-title":"Clust Comput"},{"key":"11706_CR15","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.procs.2015.04.158","volume":"48","author":"AV Lakra","year":"2015","unstructured":"Lakra AV, Yadav DK (2015) Multi-objective tasks scheduling algorithm for cloud computing throughput optimization. Proc Comput Sci 48:107\u2013113. https:\/\/doi.org\/10.1016\/j.procs.2015.04.158","journal-title":"Proc Comput Sci"},{"key":"11706_CR16","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1007\/s00521-019-04119-7","volume":"32","author":"Z Zhou","year":"2020","unstructured":"Zhou Z, Li F, Zhu H et al (2020) An improved genetic algorithm using greedy strategy toward task scheduling optimization in cloud environments. Neural Comput Appl 32:1531\u20131541","journal-title":"Neural Comput Appl"},{"key":"11706_CR17","first-page":"2","volume":"89","author":"S Bilgaiyan","year":"2014","unstructured":"Bilgaiyan S, Sagnika S, Das M (2014) An analysis of task scheduling in cloud computing using evolutionary and swarm-based algorithms. Int J Comput Appl 89:2","journal-title":"Int J Comput Appl"},{"key":"11706_CR18","doi-asserted-by":"publisher","first-page":"17803","DOI":"10.1109\/ACCESS.2022.3149955","volume":"10","author":"B Kruekaew","year":"2022","unstructured":"Kruekaew B, Kimpan W (2022) Multi-objective task scheduling optimization for load balancing in cloud computing environment using hybrid artificial bee colony algorithm with reinforcement learning. IEEE Access 10:17803\u201317818","journal-title":"IEEE Access"},{"key":"11706_CR19","first-page":"1275","volume":"23","author":"L Qi","year":"2019","unstructured":"Qi L, Chen Y, Yuan Y, Fu S, Zhang X, Xu X (2019) A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems. Smart Comput CyberTechnol Cyber 23:1275\u20131297","journal-title":"Smart Comput CyberTechnol Cyber"},{"key":"11706_CR20","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1016\/j.future.2021.07.023","volume":"125","author":"B Wang","year":"2021","unstructured":"Wang B, Liu F, Lin W (2021) Energy-efficient VM scheduling based on deep reinforcement learning. Futur Gener Comput Syst 125:616\u2013628","journal-title":"Futur Gener Comput Syst"},{"issue":"4","key":"11706_CR21","doi-asserted-by":"publisher","first-page":"646","DOI":"10.3390\/en12040646","volume":"12","author":"Y Qiu","year":"2019","unstructured":"Qiu Y, Jiang C, Wang Y, Dongyang O, Li Y, Wan J (2019) Energy aware virtual machine scheduling in data centers. Energies 12(4):646. https:\/\/doi.org\/10.3390\/en12040646","journal-title":"Energies"},{"key":"11706_CR22","first-page":"1927","volume":"15","author":"Ajmera","year":"2023","unstructured":"Ajmera, Tewari TK (2023) Energy-efficient virtual machine scheduling in IaaS cloud environment using energy-aware green-particle swarm optimization. Int J Inf Technol 15:1927\u20131935","journal-title":"Int J Inf Technol"},{"issue":"1","key":"11706_CR23","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s11277-019-06566-w","volume":"109","author":"T Prem Jacob","year":"2019","unstructured":"Prem Jacob T, Pradeep K (2019) A multi-objective optimal task scheduling in cloud environment using cuckoo particle swarm optimization. Wireless Personal Commun 109(1):315\u2013331. https:\/\/doi.org\/10.1007\/s11277-019-06566-w","journal-title":"Wireless Personal Commun"},{"key":"11706_CR24","doi-asserted-by":"publisher","first-page":"4265","DOI":"10.1007\/s13369-017-2926-z","volume":"43","author":"SP Praveen","year":"2018","unstructured":"Praveen SP, Rao KT, Janakiramaiah B (2018) Effective allocation of resources and task scheduling in cloud environment using social group optimization. Arab J Sci Eng 43:4265\u20134272","journal-title":"Arab J Sci Eng"},{"key":"11706_CR25","doi-asserted-by":"publisher","first-page":"11035","DOI":"10.1007\/s00500-018-3657-0","volume":"23","author":"Z Tong","year":"2019","unstructured":"Tong Z, Chen H, Deng X et al (2019) A novel task scheduling scheme in a cloud computing environment using hybrid biogeography-based optimization. Soft Comput 23:11035\u201311054","journal-title":"Soft Comput"},{"key":"11706_CR26","doi-asserted-by":"publisher","first-page":"55112","DOI":"10.1109\/ACCESS.2018.2872674","volume":"6","author":"Y Wei","year":"2018","unstructured":"Wei Y, Pan L, Liu S, Wu L, Meng X (2018) DRL-scheduling: an intelligent QoS-aware job scheduling framework for applications in clouds. IEEE Access 6:55112\u201355125","journal-title":"IEEE Access"},{"key":"11706_CR27","first-page":"100374","volume":"28","author":"S Farzai","year":"2020","unstructured":"Farzai S, Shirvani MH, Rabbani M (2020) Multi-objective communication-aware optimization for virtual machine placement in cloud datacenters. Sustain Comput Inf Syst 28:100374","journal-title":"Sustain Comput Inf Syst"},{"key":"11706_CR28","first-page":"100856","volume":"38","author":"MH Shirvani","year":"2023","unstructured":"Shirvani MH (2023) An energy-efficient topology-aware virtual machine placement in cloud datacenters: a multi-objective discrete JAYA optimization. Sustain Comput Inf Syst 38:100856","journal-title":"Sustain Comput Inf Syst"},{"issue":"7","key":"11706_CR29","doi-asserted-by":"publisher","first-page":"5233","DOI":"10.1007\/s00500-020-05523-1","volume":"25","author":"P Saeedi","year":"2021","unstructured":"Saeedi P, Shirvani MH (2021) An improved thermodynamic simulated annealing-based approach for resource-skewness-aware and power-efficient virtual machine consolidation in cloud datacenters. Soft Comput 25(7):5233\u20135260. https:\/\/doi.org\/10.1007\/s00500-020-05523-1","journal-title":"Soft Comput"},{"key":"11706_CR30","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. Clust Comput 24:205\u2013223","journal-title":"Clust Comput"},{"issue":"12","key":"11706_CR31","doi-asserted-by":"publisher","first-page":"1942","DOI":"10.1049\/iet-com.2019.1149","volume":"14","author":"BB Naik","year":"2020","unstructured":"Naik BB, Singh D, Samaddar AB (2020) FHCS: hybridised optimisation for virtual machine migration and task scheduling in cloud data center. IET Commun 14(12):1942\u20131948. https:\/\/doi.org\/10.1049\/iet-com.2019.1149","journal-title":"IET Commun"},{"issue":"4","key":"11706_CR32","doi-asserted-by":"publisher","first-page":"144","DOI":"10.3390\/biomimetics7040144","volume":"7","author":"Z Chen","year":"2022","unstructured":"Chen Z, Francis A, Li S, Liao B, Xiao D, Ha T, Li J, Ding L, Cao X (2022) Egret swarm optimization algorithm: an evolutionary computation approach for model free optimization. Biomimetics 7(4):144. https:\/\/doi.org\/10.3390\/biomimetics7040144","journal-title":"Biomimetics"},{"key":"11706_CR33","doi-asserted-by":"publisher","DOI":"10.1002\/dac.4723","author":"KK Gola","year":"2021","unstructured":"Gola KK, Chaurasia N, Gupta B, Niranjan DS (2021) Sea lion optimization algorithm based node deployment strategy in underwater acoustic sensor network. Int J Commun Syst. https:\/\/doi.org\/10.1002\/dac.4723","journal-title":"Int J Commun Syst"},{"key":"11706_CR34","doi-asserted-by":"publisher","first-page":"70270","DOI":"10.1109\/ACCESS.2020.2986509","volume":"8","author":"MSA Daweri","year":"2020","unstructured":"Daweri MSA, Abdullah S, Ariffin KAZ (2020) A migration-based cuttlefish algorithm with short-term memory for optimization problems. IEEE Access 8:70270\u201370292","journal-title":"IEEE Access"},{"issue":"22","key":"11706_CR35","doi-asserted-by":"publisher","first-page":"24974","DOI":"10.1109\/JSEN.2021.3062571","volume":"21","author":"H Shang","year":"2021","unstructured":"Shang H (2021) Using an improved ant lion optimizer algorithm and wireless network to explore nondestructive testing technology for water conservancy engineering. IEEE Sensors J 21(22):24974\u201324981","journal-title":"IEEE Sensors J"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-024-11706-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-024-11706-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-024-11706-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T02:03:54Z","timestamp":1735610634000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-024-11706-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,29]]},"references-count":35,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["11706"],"URL":"https:\/\/doi.org\/10.1007\/s11063-024-11706-w","relation":{},"ISSN":["1573-773X"],"issn-type":[{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,29]]},"assertion":[{"value":"5 November 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 November 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":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed Consent"}}],"article-number":"248"}}