{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T05:05:58Z","timestamp":1769922358219,"version":"3.49.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T00:00:00Z","timestamp":1692921600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T00:00:00Z","timestamp":1692921600000},"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":["Peer-to-Peer Netw. Appl."],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1007\/s12083-023-01536-3","type":"journal-article","created":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T11:01:41Z","timestamp":1692961301000},"page":"2560-2573","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Task scheduling based on minimization of makespan and energy consumption using binary GWO algorithm in cloud environment"],"prefix":"10.1007","volume":"16","author":[{"given":"Gobalakrishnan","family":"Natesan","sequence":"first","affiliation":[]},{"given":"N.","family":"Manikandan","sequence":"additional","affiliation":[]},{"given":"K.","family":"Pradeep","sequence":"additional","affiliation":[]},{"given":"L.","family":"Sherly Puspha Annabel","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,25]]},"reference":[{"issue":"6","key":"1536_CR1","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1016\/j.future.2008.12.001","volume":"25","author":"R Buyya","year":"2009","unstructured":"Buyya R, Yeo CS, Venugopal S, Broberg J, Brandic I (2009) Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Gener Comput Syst 25(6):599\u2013616. https:\/\/doi.org\/10.1016\/j.future.2008.12.001","journal-title":"Future Gener Comput Syst"},{"issue":"1","key":"1536_CR2","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1007\/s13174-010-0007-6","volume":"1","author":"Q Zhang","year":"2010","unstructured":"Zhang Q, Cheng L, Boutaba R (2010) Cloud computing: State-of-the-art and research challenges. J Internet Serv Appl 1(1):7\u201318. https:\/\/doi.org\/10.1007\/s13174-010-0007-6","journal-title":"J Internet Serv Appl"},{"key":"1536_CR3","doi-asserted-by":"publisher","first-page":"100841","DOI":"10.1016\/j.swevo.2021.100841","volume":"62","author":"EH Houssein","year":"2021","unstructured":"Houssein EH, Gad AG, Wazery YM, Suganthan PN (2021) Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends. Swarm Evol Comput 62:100841. https:\/\/doi.org\/10.1016\/j.swevo.2021.100841","journal-title":"Swarm Evol Comput"},{"issue":"4","key":"1536_CR4","doi-asserted-by":"publisher","first-page":"1041","DOI":"10.17762\/turcomat.v12i4.612","volume":"12","author":"IM Ibrahim","year":"2021","unstructured":"Ibrahim IM (2021) Task scheduling algorithms in cloud computing: a review. Turk J Comput Math Educ 12(4):1041\u20131053. https:\/\/doi.org\/10.17762\/turcomat.v12i4.612","journal-title":"Turk J Comput Math Educ"},{"key":"1536_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2021.01.003","volume-title":"A Survey on PSO Based Meta-Heuristic Scheduling Mechanism in Cloud Computing Environment, J","author":"A Pradhan","year":"2021","unstructured":"Pradhan A, Bisoy SK, ADas, (2021) A Survey on PSO Based Meta-Heuristic Scheduling Mechanism in Cloud Computing Environment, J. King Saud Univ, Comput. Info. Scie. https:\/\/doi.org\/10.1016\/j.jksuci.2021.01.003"},{"issue":"1","key":"1536_CR6","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s11277-019-06566-w","volume":"109","author":"TP Jacob","year":"2019","unstructured":"Jacob TP, Pradeep K (2019) A Multi-objective Optimal Task Scheduling in Cloud Environment Using Cuckoo Particle Swarm Optimization. Wirel Pers Commun 109(1):315\u2013331. https:\/\/doi.org\/10.1007\/s11277-019-06566-w","journal-title":"Wirel Pers Commun"},{"issue":"10","key":"1536_CR7","doi-asserted-by":"publisher","first-page":"1523","DOI":"10.1093\/comjnl\/bxy009","volume":"61","author":"N Gobalakrishnan","year":"2018","unstructured":"Gobalakrishnan N, Arun C (2018) A new multi-objective optimal programming model for task scheduling using genetic gray wolf optimization in cloud computing. Comput J 61(10):1523\u20131536. https:\/\/doi.org\/10.1093\/comjnl\/bxy009","journal-title":"Comput J"},{"issue":"10","key":"1536_CR8","doi-asserted-by":"publisher","first-page":"5901","DOI":"10.1007\/s00521-019-04067-2","volume":"32","author":"KR Prasanna Kumar","year":"2020","unstructured":"Prasanna Kumar KR, Kousalya K (2020) Amelioration of task scheduling in cloud computing using crow search algorithm. Neural Comput Appl 32(10):5901\u20135907. https:\/\/doi.org\/10.1007\/s00521-019-04067-2","journal-title":"Neural Comput Appl"},{"issue":"4","key":"1536_CR9","doi-asserted-by":"publisher","first-page":"1887","DOI":"10.1007\/s11277-019-06817-w","volume":"110","author":"G Natesan","year":"2020","unstructured":"Natesan G, Chokkalingam A (2020) Multi-objective task scheduling using hybrid whale genetic optimization algorithm in heterogeneous computing environment. Wirel Pers Commun 110(4):1887\u20131913. https:\/\/doi.org\/10.1007\/s11277-019-06817-w","journal-title":"Wirel Pers Commun"},{"key":"1536_CR10","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxab028","author":"K Pradeep","year":"2021","unstructured":"Pradeep K, Javid Ali L, Gobalakrishnan N, Raman CJ, Manikandan N (2021) CWOA: hybrid approach for task scheduling in cloud environment. Comput J. https:\/\/doi.org\/10.1093\/comjnl\/bxab028","journal-title":"Comput J"},{"key":"1536_CR11","doi-asserted-by":"publisher","first-page":"106860","DOI":"10.1016\/j.comnet.2019.106860","volume":"162","author":"MM Golchi","year":"2019","unstructured":"Golchi MM, Saraeian S, Heydari M (2019) A hybrid of firefly and improved particle swarm optimization algorithms for load balancing in cloud environments: performance evaluation. Comput Netw 162:106860. https:\/\/doi.org\/10.1016\/j.comnet.2019.106860","journal-title":"Comput Netw"},{"key":"1536_CR12","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1016\/j.suscom.2019.04.001","volume":"22","author":"K Li","year":"2019","unstructured":"Li K (2019) Energy and time constrained scheduling for optimized quality of service. Sustain Comput Informatics Syst 22:134\u2013138. https:\/\/doi.org\/10.1016\/j.suscom.2019.04.001","journal-title":"Sustain Comput Informatics Syst"},{"key":"1536_CR13","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/j.future.2019.08.012","volume":"102","author":"G Ismayilov","year":"2020","unstructured":"Ismayilov G, Topcuoglu HR (2020) Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing. Future Gener Comput Syst 102:307\u2013322. https:\/\/doi.org\/10.1016\/j.future.2019.08.012","journal-title":"Future Gener Comput Syst"},{"key":"1536_CR14","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. https:\/\/doi.org\/10.1016\/j.cie.2019.03.006","journal-title":"Comput Ind Eng"},{"key":"1536_CR15","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1016\/j.future.2018.12.004","volume":"94","author":"I Pietri","year":"2019","unstructured":"Pietri I, Sakellariou R (2019) A Pareto-based approach for CPU provisioning of scientific workflows on clouds. Future Gener Comput Syst 94:479\u2013487. https:\/\/doi.org\/10.1016\/j.future.2018.12.004","journal-title":"Future Gener Comput Syst"},{"key":"1536_CR16","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1016\/j.asoc.2018.12.021","volume":"76","author":"V Priya","year":"2019","unstructured":"Priya V, Kumar CS, Kannan R (2019) Resource scheduling algorithm with load balancing for cloud service provisioning. Appl Soft Comput 76:416\u2013424. https:\/\/doi.org\/10.1016\/j.asoc.2018.12.021","journal-title":"Appl Soft Comput"},{"key":"1536_CR17","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.future.2019.02.019","volume":"96","author":"GL Stavrinides","year":"2019","unstructured":"Stavrinides GL, Karatza HD (2019) An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and approximate computations. Future Gener Comput Syst 96:216\u2013226. https:\/\/doi.org\/10.1016\/j.future.2019.02.019","journal-title":"Future Gener Comput Syst"},{"key":"1536_CR18","doi-asserted-by":"publisher","first-page":"101654","DOI":"10.1016\/j.sysarc.2019.101654","volume":"101","author":"Y Zhang","year":"2019","unstructured":"Zhang Y, Zhou J, Sun J (2019) Scheduling bag-of-tasks applications on hybrid clouds under due date constraints. J Syst Archit 101:101654. https:\/\/doi.org\/10.1016\/j.sysarc.2019.101654","journal-title":"J Syst Archit"},{"key":"1536_CR19","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1016\/j.future.2018.10.046","volume":"93","author":"X Zhou","year":"2019","unstructured":"Zhou X, Zhang G, Sun J, Zhou J, Wei T, Hu S (2019) Minimizing cost and makespan for workflow scheduling in cloud using fuzzy dominance sort based HEFT, Future Gener. Comput Syst 93:278\u2013289. https:\/\/doi.org\/10.1016\/j.future.2018.10.046","journal-title":"Comput Syst"},{"issue":"8","key":"1536_CR20","doi-asserted-by":"publisher","first-page":"6302","DOI":"10.1007\/s11227-019-02816-7","volume":"76","author":"SMG Kashikolaei","year":"2020","unstructured":"Kashikolaei SMG, Hosseinabadi AAR, Saemi B, Shareh MB, Sangaiah AK, Bian GB (2020) An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm. J Supercomput 76(8):6302\u20136329. https:\/\/doi.org\/10.1007\/s11227-019-02816-7","journal-title":"J Supercomput"},{"issue":"6","key":"1536_CR21","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, Xie H, Abawajy JH, Chowdhury MU (2020) An improved genetic algorithm using greedy strategy toward task scheduling optimization in cloud environments. Neural Comput Appl 32(6):1531\u20131541. https:\/\/doi.org\/10.1007\/s00521-019-04119-7","journal-title":"Neural Comput Appl"},{"key":"1536_CR22","doi-asserted-by":"publisher","first-page":"3517145","DOI":"10.1155\/2021\/3517145","volume":"2021","author":"J Ababneh","year":"2021","unstructured":"Ababneh J (2021) A hybrid approach based on grey wolf and whale optimization algorithms for solving cloud task scheduling problem. Math Prob Eng 2021:3517145. https:\/\/doi.org\/10.1155\/2021\/3517145","journal-title":"Math Prob Eng"},{"issue":"2","key":"1536_CR23","doi-asserted-by":"publisher","first-page":"1301","DOI":"10.1007\/s11277-021-08263-z","volume":"119","author":"R Medara","year":"2021","unstructured":"Medara R, Singh RS (2021) Energy efficient and reliability aware workflow task scheduling in cloud environment. Wirel Pers Commun 119(2):1301\u20131320. https:\/\/doi.org\/10.1007\/s11277-021-08263-z","journal-title":"Wirel Pers Commun"},{"issue":"1","key":"1536_CR24","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/s11227-021-03915-0","volume":"78","author":"L Abualigah","year":"2022","unstructured":"Abualigah L, Alkhrabsheh M (2022) Amended Hybrid multi-verse optimizer with genetic algorithm for solving task scheduling problem in cloud computing. J Super Comput 78(1):740\u2013765. https:\/\/doi.org\/10.1007\/s11227-021-03915-0","journal-title":"J Super comput"},{"issue":"2","key":"1536_CR25","doi-asserted-by":"publisher","first-page":"2793","DOI":"10.1007\/s11227-021-03977-0","volume":"78","author":"DA Amer","year":"2022","unstructured":"Amer DA, Attiya G, Zeidan I, Nasr AA (2022) Elite learning Harris hawks optimizer for multi-objective task scheduling in cloud computing. J Super Comput 78(2):2793\u20132818. https:\/\/doi.org\/10.1007\/s11227-021-03977-0","journal-title":"J Super comput"},{"key":"1536_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-022-03740-x","author":"R Jain","year":"2022","unstructured":"Jain R, Sharma N (2022) A quantum inspired hybrid SSA\u2013GWO algorithm for SLA based task scheduling to improve QoS parameter in cloud computing. Cluster Comput. https:\/\/doi.org\/10.1007\/s10586-022-03740-x","journal-title":"Cluster Comput"},{"key":"1536_CR27","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.future.2022.04.032","volume":"135","author":"J Li","year":"2022","unstructured":"Li J, Zhang X, Wei J, Ji Z, Wei Z (2022) GARLSched: generative adversarial deep reinforcement learning task scheduling optimization for large-scale high performance computing systems. Future Gener Comput Syst 135:259\u2013269. https:\/\/doi.org\/10.1016\/j.future.2022.04.032","journal-title":"Future Gener Comput Syst"},{"key":"1536_CR28","doi-asserted-by":"publisher","first-page":"101805","DOI":"10.1016\/j.jocs.2022.101805","volume":"63","author":"BMH Zade","year":"2022","unstructured":"Zade BMH, Mansouri N (2022) Improved red fox optimizer with fuzzy theory and game theory for task scheduling in cloud environment. J Comput Sci 63:101805. https:\/\/doi.org\/10.1016\/j.jocs.2022.101805","journal-title":"J Comput Sci"},{"key":"1536_CR29","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46\u201361. https:\/\/doi.org\/10.1016\/j.advengsoft.2013.12.007","journal-title":"Adv Eng Softw"},{"key":"1536_CR30","doi-asserted-by":"publisher","first-page":"105746","DOI":"10.1016\/j.knosys.2020.105746","volume":"195","author":"P Hu","year":"2020","unstructured":"Hu P, Pan JS, Chu SC (2020) Improved binary grey wolf optimizer and its application for feature selection. Knowl Based Syst 195:105746. https:\/\/doi.org\/10.1016\/j.knosys.2020.105746","journal-title":"Knowl Based Syst"},{"key":"1536_CR31","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1016\/j.future.2015.08.006","volume":"56","author":"M Abdullahi","year":"2016","unstructured":"Abdullahi M, Ngadi MA (2016) Symbiotic Organism Search optimization based task scheduling in cloud computing environment. Future Gener Comput Syst 56:640\u2013650. https:\/\/doi.org\/10.1016\/j.future.2015.08.006","journal-title":"Future Gener Comput Syst"}],"container-title":["Peer-to-Peer Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12083-023-01536-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12083-023-01536-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12083-023-01536-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T13:27:50Z","timestamp":1695994070000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12083-023-01536-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,25]]},"references-count":31,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,9]]}},"alternative-id":["1536"],"URL":"https:\/\/doi.org\/10.1007\/s12083-023-01536-3","relation":{},"ISSN":["1936-6442","1936-6450"],"issn-type":[{"value":"1936-6442","type":"print"},{"value":"1936-6450","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,25]]},"assertion":[{"value":"4 April 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 July 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 August 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors declare that they have no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}