{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T18:03:05Z","timestamp":1775325785383,"version":"3.50.1"},"reference-count":50,"publisher":"Tech Science Press","issue":"1","license":[{"start":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T00:00:00Z","timestamp":1721347200000},"content-version":"vor","delay-in-days":200,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2024]]},"DOI":"10.32604\/cmc.2024.050626","type":"journal-article","created":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T05:49:10Z","timestamp":1720763350000},"page":"1601-1631","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":5,"title":["A Prediction-Based Multi-Objective VM Consolidation Approach for Cloud Data Centers"],"prefix":"10.32604","volume":"80","author":[{"given":"Xialin","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junsheng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiyuan","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"17807","published-online":{"date-parts":[[2024]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1016\/j.cie.2017.12.001","article-title":"A discrete cuckoo optimization algorithm for consolidation in cloud computing","volume":"115","author":"Tavana","year":"Jan. 2018","journal-title":"Comput. Ind. Eng."},{"key":"ref2","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.neucom.2020.08.076","article-title":"A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center","volume":"426","author":"Saxena","year":"Feb. 2021","journal-title":"Neurocomputing"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.future.2020.01.008","article-title":"Embedding individualized machine learning prediction models for energy efficient VM consolidation within Cloud data centers","volume":"106","author":"Mashhadi Moghaddam","year":"Jan. 2020","journal-title":"Future Gener. Comput. Syst."},{"key":"ref4","first-page":"101087","article-title":"An approach towards development of new linear regression prediction model for reduced energy consumption and SLA violation in the domain of green cloud computing","volume":"45","author":"Biswas","year":"Jun. 2021","journal-title":"Sustain. Energy Technol."},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1027","DOI":"10.1016\/j.future.2011.04.016","article-title":"Server consolidation with migration control for virtualized data centers","volume":"27","author":"Ferreto","year":"Oct. 2011","journal-title":"Future Gener. Comput. Syst."},{"key":"ref6","series-title":"the 2014 IEEE Int. Conf. Green. Comput.","author":"Takouna","year":"Sep. 1\u20133, 2014"},{"key":"ref7","series-title":"the 2014 Int. Conf. Inf. Net.","author":"Jheng","year":"Feb. 10\u201312, 2014"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.jpdc.2019.12.014","article-title":"Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers","volume":"139","author":"Hsieh","year":"May 2020","journal-title":"J. Parallel. Distr. Comput."},{"key":"ref9","first-page":"100995","article-title":"A multi-objective approach for energy-efficientand reliable dynamic VM consolidation in cloud data centers","volume":"26","author":"H. Sayadnavard","year":"Feb. 2021","journal-title":"Eng. Sci. Technol."},{"key":"ref10","series-title":"the 2018 IEEE. Int. Conf. Ubiq. Comput.","author":"Li","year":"Dec. 11\u201313, 2018"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1109\/TCC.2014.2350475","article-title":"Workload prediction using ARIMA model and its impact on cloud applications\u2019 QoS","volume":"3","author":"Calheiros","year":"Aug. 2015","journal-title":"IEEE Trans. Cloud Comput."},{"key":"ref12","series-title":"the 2013 Euro. Conf. Soft. Eng. Adv. Appl.","author":"Farahnakian","year":"Sep. 4\u20136, 2013"},{"key":"ref13","first-page":"187","article-title":"Using ant colony system to consolidate VMS for green cloud computing","volume":"2","author":"Farahnakian","year":"Oct. 2015","journal-title":"IEEE Trans. Serv. Comput."},{"key":"ref14","series-title":"the 2015 IEEE 8th Int. Conf. Clou. Comput.","author":"Hieu","year":"Jun. 27\u2013Jul. 2, 2015"},{"key":"ref15","series-title":"the 2017 Int. Conf. Inte. Comput. Cont.","author":"Shaw","year":"Jun. 23\u201324, 2017"},{"key":"ref16","series-title":"the 2013 IEEE\/ACM Int. Conf. Util. Clou. Comput.","author":"Farahnakian","year":"Dec. 9\u201312, 2013"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.future.2016.12.008","article-title":"Bayesian network-based virtual machines consolidation method","volume":"69","author":"Li","year":"Apr. 2017","journal-title":"Future Gener. Comput. Syst."},{"key":"ref18","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/j.ins.2020.07.012","article-title":"Self directed learning based workload forecasting model for cloud resource management","volume":"543","author":"Kumar","year":"Jan. 2021","journal-title":"Inform. Sci."},{"key":"ref19","doi-asserted-by":"crossref","first-page":"66048","DOI":"10.1109\/ACCESS.2020.2984056","article-title":"Predicting multi-attribute host resource utilization using support vector regression technique","volume":"8","author":"Abdullah","year":"Mar. 2020","journal-title":"IEEE Access"},{"key":"ref20","first-page":"1127","article-title":"Reinforcement learning based methodology for energy-efficient resource allocation in cloud data centers","volume":"32","author":"Thein","year":"Dec. 2020","journal-title":"J. King Saud Univ-Comput."},{"key":"ref21","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.future.2017.02.022","article-title":"An autonomic resource provisioning approach for service-based cloud applications: A hybrid approach","volume":"78","author":"Ghobaei-Arani","year":"Jan. 2018","journal-title":"Future Gener. Comput. Syst."},{"key":"ref22","doi-asserted-by":"crossref","first-page":"31224","DOI":"10.1109\/ACCESS.2018.2835670","article-title":"Enhancing energy-efficient and QoS dynamic virtual machine consolidation method in cloud environment","volume":"6","author":"Liu","year":"May 2018","journal-title":"IEEE Access"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.comcom.2019.12.028","article-title":"An intelligent swarm based prediction approach for predicting cloud computing user resource needs","volume":"151","author":"Kholidy","year":"Feb. 2020","journal-title":"Comput. Commun."},{"key":"ref24","first-page":"4873459","article-title":"Adaptive resource utilization prediction system for infrastructure as a service cloud","volume":"2017","author":"Qazi","year":"Jul. 2017","journal-title":"Comput. Intell. Neurosci."},{"key":"ref25","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.neucom.2020.02.014","article-title":"Ensemble learning based predictive framework for virtual machine resource request prediction","volume":"397","author":"Kumar","year":"Jul. 2020","journal-title":"Neurocomputing"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jpdc.2018.08.008","article-title":"An intelligent regressive ensemble approach for predicting resource usage in cloud computing","volume":"123","author":"Kaur","year":"Jan. 2019","journal-title":"J. Parallel. Distr. Comput."},{"key":"ref27","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.future.2014.11.008","article-title":"Assessing and forecasting energy efficiency on cloud computing platforms","volume":"45","author":"Subirats","year":"Apr. 2015","journal-title":"Future Gener. Comput. Syst."},{"key":"ref28","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.future.2018.03.040","article-title":"Predicting host CPU utilization in the cloud using evolutionary neural networks","volume":"86","author":"Mason","year":"Sep. 2018","journal-title":"Future Gener. Comput. Syst."},{"key":"ref29","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1016\/j.procs.2017.12.087","article-title":"Long short term memory recurrent neural network (LSTM-RNN) based workload forecasting model for cloud datacenters","volume":"125","author":"Kumar","year":"2018","journal-title":"Procedia Comput."},{"key":"ref30","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1109\/MCC.2018.1081063","article-title":"Intelligent cloud resource management with deep reinforcement learning","volume":"4","author":"Zhang","year":"Dec. 2017","journal-title":"IEEE Cloud Comput."},{"key":"ref31","doi-asserted-by":"crossref","first-page":"2185","DOI":"10.1007\/s12652-021-03429-w","article-title":"ABSO: An energy-efficient multi-objective VM consolidation using adaptive beetle swarm optimization on cloud environment","volume":"14","author":"Hariharan","year":"Aug. 2021","journal-title":"J. Amb. Intell. Hum. Comput."},{"key":"ref32","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1007\/s11227-011-0658-5","article-title":"Power-efficient distributed scheduling of virtual machines using workload-aware consolidation techniques","volume":"61","author":"Sharifi","year":"Jul. 2011","journal-title":"J. Supercomput."},{"key":"ref33","doi-asserted-by":"crossref","first-page":"11011","DOI":"10.1007\/s00521-020-05559-2","article-title":"A multi-objective monarch butterfly algorithm for virtual machine placement in cloud computing","volume":"33","author":"Ghetas","year":"Jan. 2021","journal-title":"Neur. Comput. Appl."},{"key":"ref34","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.future.2016.12.022","article-title":"Power efficient server consolidation for cloud data center","volume":"70","author":"Mazumdar","year":"May 2017","journal-title":"Future Gener. Comput. Syst."},{"key":"ref35","first-page":"277","article-title":"Security-aware dynamic VM consolidation","volume":"13","author":"Elshabka","year":"Sep. 2020","journal-title":"Egypt. Inform. J."},{"key":"ref36","doi-asserted-by":"crossref","first-page":"620","DOI":"10.1016\/j.future.2018.11.052","article-title":"Failure-aware energy-efficient VM consolidation in cloud computing systems","volume":"94","author":"Sharma","year":"May 2019","journal-title":"Future Gener. Comput. Syst."},{"key":"ref37","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.fss.2021.03.001","article-title":"Interval-valued fuzzy logic approach for overloaded hosts in consolidation of virtual machines in cloud computing","volume":"446","author":"Moura","year":"Oct. 2022","journal-title":"Fuzz. Sets Syst."},{"key":"ref38","series-title":"the 2013 5th Conf. Info. Know. Tech.","author":"Kord","year":"May 28\u201330, 2013"},{"key":"ref39","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.1016\/j.procs.2018.04.327","article-title":"Energy consumption optimization scheme of cloud data center based on SDN","volume":"131","author":"Liao","year":"Jan. 2018","journal-title":"Procedia Comput. Sci."},{"key":"ref40","article-title":"A discrete chaotic multi-objective SCA-ALO optimization algorithm for an optimal virtual machine placement in cloud data center","volume":"12","author":"Gharehpasha","year":"Nov. 2020","journal-title":"J Amb. Intell. Hum. Comp."},{"key":"ref41","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.1016\/j.jcss.2013.02.004","article-title":"A multi-objective ant colony system algorithm for virtual machine placement in cloud computing","volume":"79","author":"Gao","year":"Dec. 2013","journal-title":"J. Comput. Syst Sci."},{"key":"ref42","first-page":"9","article-title":"An energy efficient and SLA compliant approach for resource allocation and consolidation in cloud computing environments","volume":"17","author":"Malekloo","year":"Mar. 2018","journal-title":"Sustain. Comput-Infor."},{"key":"ref43","doi-asserted-by":"crossref","first-page":"e6830.1","DOI":"10.1002\/cpe.6830","article-title":"Energy-aware virtual machine consolidation based on evolutionary game theory","volume":"34","author":"Liu","year":"May 2022","journal-title":"Concurr. Comp-Pract. E"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"1397","DOI":"10.1002\/cpe.1867","article-title":"Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers","volume":"24","author":"Beloglazov","year":"Oct. 2011","journal-title":"Concurr. Comp-Pract. E"},{"key":"ref45","series-title":"the 2012 Int. Conf. Para. Dist. Comput., Appl. Tech.","author":"Wei","year":"Dec. 14\u201316, 2012"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s10586-011-0194-3","article-title":"Performance and energy modeling for live migration of virtual machines","volume":"16","author":"Liu","year":"Dec. 2011","journal-title":"Cluster Comput."},{"key":"ref47","series-title":"the 2011 Int. Conf. Comm. Mob. Comput.","author":"Huang","year":"Apr. 18\u201320, 2011"},{"key":"ref48","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1016\/j.jhydrol.2012.11.017","article-title":"Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir","volume":"476","author":"Valipour","year":"Jan. 2013","journal-title":"J. Hydrol."},{"key":"ref49","doi-asserted-by":"crossref","DOI":"10.1002\/9781118619193","author":"Box","year":"Jun. 2008","journal-title":"Time Series Analysis: Forecasting and Control"},{"key":"ref50","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/j.jss.2018.09.083","article-title":"A prediction-based VM consolidation approach in IaaS cloud data centers","volume":"146","author":"Mandhi","year":"Dec. 2018","journal-title":"J. Syst. Softw."}],"container-title":["Computers, Materials &amp; Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/files\/cmc\/2024\/TSP_CMC-80-1\/TSP_CMC_50626\/TSP_CMC_50626.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T11:33:30Z","timestamp":1741260810000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v80n1\/57374"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":50,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.050626","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2024-02-12","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-06-11","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-07-18","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}