{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T13:52:37Z","timestamp":1772545957064,"version":"3.50.1"},"reference-count":97,"publisher":"Association for Computing Machinery (ACM)","issue":"8","license":[{"start":{"date-parts":[[2021,10,4]],"date-time":"2021-10-04T00:00:00Z","timestamp":1633305600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100002322","name":"CAPES","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003593","name":"CNPq","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Comput. Surv."],"published-print":{"date-parts":[[2022,11,30]]},"abstract":"<jats:p>Virtual machine consolidation has been a widely explored topic in recent years due to Cloud Data Centers\u2019 effect on global energy consumption. Thus, academia and companies made efforts to achieve green computing, reducing energy consumption to minimize environmental impact. By consolidating Virtual Machines into a fewer number of Physical Machines, resource provisioning mechanisms can shutdown idle Physical Machines to reduce energy consumption and improve resource utilization. However, there is a tradeoff between reducing energy consumption while assuring the Quality of Service established on the Service Level Agreement. This work introduces a Systematic Literature Review of one year of advances in virtual machine consolidation. It provides a discussion on methods used in each step of the virtual machine consolidation, a classification of papers according to their contribution, and a quantitative and qualitative analysis of datasets, scenarios, and metrics.<\/jats:p>","DOI":"10.1145\/3470972","type":"journal-article","created":{"date-parts":[[2021,10,5]],"date-time":"2021-10-05T00:42:42Z","timestamp":1633394562000},"page":"1-38","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["A Systematic Literature Review on Virtual Machine Consolidation"],"prefix":"10.1145","volume":"54","author":[{"given":"Alexandre H. T.","family":"Dias","sequence":"first","affiliation":[{"name":"Federal University of Lavras, Minas Gerais, Brazil"}]},{"given":"Luiz. H. A.","family":"Correia","sequence":"additional","affiliation":[{"name":"Federal University of Lavras, Minas Gerais, Brazil"}]},{"given":"Neumar","family":"Malheiros","sequence":"additional","affiliation":[{"name":"Federal University of Lavras, Minas Gerais, Brazil"}]}],"member":"320","published-online":{"date-parts":[[2021,10,4]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"IEEE 17th International Symposium on Network Computing and Applications (NCA). IEEE, 1\u20139.","author":"Alsadie D.","unstructured":"D. Alsadie , E. J. Alzahrani , N. Sohrabi , Z. Tari , and A. Y. Zomaya . 2018. DFTA: A dynamic threshold-based fuzzy approach for power-efficient VM consolidation . In IEEE 17th International Symposium on Network Computing and Applications (NCA). IEEE, 1\u20139. D. Alsadie, E. J. Alzahrani, N. Sohrabi, Z. Tari, and A. Y. Zomaya. 2018. DFTA: A dynamic threshold-based fuzzy approach for power-efficient VM consolidation. In IEEE 17th International Symposium on Network Computing and Applications (NCA). IEEE, 1\u20139."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/fi10090086"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/17445760.2018.1448931"},{"key":"e_1_2_1_4_1","first-page":"10","article-title":"New six-phase on-line resource management process for energy and sla efficient consolidation in cloud data centers","volume":"15","author":"Arianyan Ehsan","year":"2018","unstructured":"Ehsan Arianyan , Hassan Taheri , Saeed Sharifian , and Mohsen Tarighi . 2018 . New six-phase on-line resource management process for energy and sla efficient consolidation in cloud data centers . Int. Arab J. Inf. Technol. 15 , 1 (2018), 10 \u2013 20 . Ehsan Arianyan, Hassan Taheri, Saeed Sharifian, and Mohsen Tarighi. 2018. New six-phase on-line resource management process for energy and sla efficient consolidation in cloud data centers. Int. Arab J. Inf. Technol. 15, 1 (2018), 10\u201320.","journal-title":"Int. Arab J. Inf. Technol."},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/INCAE.2018.8579406"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/PACT.2015.59"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10723-018-9428-4"},{"key":"e_1_2_1_8_1","volume-title":"International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). 2054\u20132058","author":"Kaur A.","unstructured":"Ashu, A. Kaur , M. Singh , and P. Singh . 2017. A taxonomy, survey on placement of virtual machines in cloud . In International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). 2054\u20132058 . Ashu, A. Kaur, M. Singh, and P. Singh. 2017. A taxonomy, survey on placement of virtual machines in cloud. In International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). 2054\u20132058."},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC.2019.8766705"},{"key":"e_1_2_1_10_1","volume-title":"Performance analysis of heterogeneous data centers in cloud computing using a complex queuing model. Math. Prob. Eng. 2015","author":"Bai Wei-Hua","year":"2015","unstructured":"Wei-Hua Bai , Jian-Qing Xi , Jia-Xian Zhu , and Shao-Wei Huang . 2015. Performance analysis of heterogeneous data centers in cloud computing using a complex queuing model. Math. Prob. Eng. 2015 ( 2015 ). Wei-Hua Bai, Jian-Qing Xi, Jia-Xian Zhu, and Shao-Wei Huang. 2015. Performance analysis of heterogeneous data centers in cloud computing using a complex queuing model. Math. Prob. Eng. 2015 (2015)."},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CONFLUENCE.2018.8442561"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/945445.945462"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJGUC.2018.090221"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2007.443"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2011.04.017"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCGRID.2010.45"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.1867"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-018-2613-1"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/3006357"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-018-2872-x"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3164541.3164608"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3241737"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/WCSP.2018.8555561"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2017EDP7321"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132747.3132772"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCP.2018.8516648"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/FiCloud.2018.00045"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/W-FiCloud.2018.00043"},{"key":"e_1_2_1_29_1","unstructured":"John Dulac Thibaut Abergel and Chiara Delmastro. 2020. Data Centres and Data Transmission Networks. Retrieved from https:\/\/www.iea.org\/reports\/data-centres-and-data-tr ansmission-networks.  John Dulac Thibaut Abergel and Chiara Delmastro. 2020. Data Centres and Data Transmission Networks. Retrieved from https:\/\/www.iea.org\/reports\/data-centres-and-data-tr ansmission-networks."},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273440.1250665"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2016.2617374"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3230348.3230369"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1002\/dac.3537"},{"key":"e_1_2_1_34_1","first-page":"52","article-title":"Power and resource-aware virtual machine placement for IaaS cloud","volume":"19","author":"Gupta Madnesh K.","year":"2018","unstructured":"Madnesh K. Gupta , Ankit Jain , and Tarachand Amgoth . 2018 . Power and resource-aware virtual machine placement for IaaS cloud . Sustain. Comput.: Inform. Syst. 19 (2018), 52 \u2013 60 . Madnesh K. Gupta, Ankit Jain, and Tarachand Amgoth. 2018. Power and resource-aware virtual machine placement for IaaS cloud. Sustain. Comput.: Inform. Syst. 19 (2018), 52\u201360.","journal-title":"Sustain. Comput.: Inform. Syst."},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-018-6089-3"},{"key":"e_1_2_1_36_1","volume-title":"Magnetic: Multi-agent machine learning-based approach for energy efficient dynamic consolidation in data centers","author":"Haghshenas Kawsar","year":"2019","unstructured":"Kawsar Haghshenas , Ali Pahlevan , Marina Zapater , Siamak Mohammadi , and David Atienza . 2019 . Magnetic: Multi-agent machine learning-based approach for energy efficient dynamic consolidation in data centers . IEEE Trans. Serv. Comput . [Preprint] (2019). Available from: https:\/\/doi.org\/10.1109\/TSC.2019.2919555 10.1109\/TSC.2019.2919555 Kawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi, and David Atienza. 2019. Magnetic: Multi-agent machine learning-based approach for energy efficient dynamic consolidation in data centers. IEEE Trans. Serv. Comput. [Preprint] (2019). Available from: https:\/\/doi.org\/10.1109\/TSC.2019.2919555"},{"key":"e_1_2_1_37_1","first-page":"80","article-title":"A survey on energy aware VM consolidation strategies","volume":"23","author":"Hamdi Najet","year":"2019","unstructured":"Najet Hamdi and Walid Chainbi . 2019 . A survey on energy aware VM consolidation strategies . Sustain. Comput.: Inform. Syst. 23 (2019), 80 \u2013 87 . DOI:https:\/\/doi.org\/10.1016\/j.suscom.2019.06.003. 10.1016\/j.suscom.2019.06.003 Najet Hamdi and Walid Chainbi. 2019. A survey on energy aware VM consolidation strategies. Sustain. Comput.: Inform. Syst. 23 (2019), 80\u201387. DOI:https:\/\/doi.org\/10.1016\/j.suscom.2019.06.003.","journal-title":"Sustain. Comput.: Inform. Syst."},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2017.07.011"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/11942634_43"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2016.2531672"},{"key":"e_1_2_1_41_1","volume-title":"Mohamed Abd Elaziz, and Shengwu Xiong","author":"Nuwanthika Jayasena Kudamaduwage Pubudu","year":"2018","unstructured":"Kudamaduwage Pubudu Nuwanthika Jayasena , Lin Li , Mohamed Abd Elaziz, and Shengwu Xiong . 2018 . Multi-objective energy efficient resource allocation using virus colony search (VCS) algorithm. In IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC\/SmartCity\/DSS). IEEE , 766\u2013773. Kudamaduwage Pubudu Nuwanthika Jayasena, Lin Li, Mohamed Abd Elaziz, and Shengwu Xiong. 2018. Multi-objective energy efficient resource allocation using virus colony search (VCS) algorithm. In IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC\/SmartCity\/DSS). IEEE, 766\u2013773."},{"key":"e_1_2_1_42_1","volume-title":"IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 81\u201386","author":"Jayasena K. P. N.","unstructured":"K. P. N. Jayasena , L. Li , M. A. Elaziz , S. Xiong , and J. Xiang . 2018. Optimizing the energy efficient VM consolidation by a multi-objective algorithm . In IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 81\u201386 . K. P. N. Jayasena, L. Li, M. A. Elaziz, S. Xiong, and J. Xiang. 2018. Optimizing the energy efficient VM consolidation by a multi-objective algorithm. In IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 81\u201386."},{"key":"e_1_2_1_43_1","volume-title":"How to stop data centres from gobbling up the world\u2019s electricity.Nature 561, 7722","author":"Jones Nicola","year":"2018","unstructured":"Nicola Jones . 2018. How to stop data centres from gobbling up the world\u2019s electricity.Nature 561, 7722 ( 2018 ), 163\u2013167. Nicola Jones. 2018. How to stop data centres from gobbling up the world\u2019s electricity.Nature 561, 7722 (2018), 163\u2013167."},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1108\/JSIT-10-2017-0089"},{"key":"e_1_2_1_45_1","volume-title":"Manzur Murshed, and Rajkumar Buyya.","author":"Khan Md Anit","year":"2018","unstructured":"Md Anit Khan , Andrew Paplinski , Abdul Malik Khan , Manzur Murshed, and Rajkumar Buyya. 2018 . Dynamic virtual machine consolidation algorithms for energy-efficient cloud resource management: A review. In Sustainable Cloud and Energy Services. Springer , 135\u2013165. Md Anit Khan, Andrew Paplinski, Abdul Malik Khan, Manzur Murshed, and Rajkumar Buyya. 2018. Dynamic virtual machine consolidation algorithms for energy-efficient cloud resource management: A review. In Sustainable Cloud and Energy Services. Springer, 135\u2013165."},{"key":"e_1_2_1_46_1","first-page":"1","article-title":"Procedures for performing systematic reviews. Keele, UK","volume":"33","author":"Kitchenham Barbara","year":"2004","unstructured":"Barbara Kitchenham . 2004 . Procedures for performing systematic reviews. Keele, UK , Keele University 33 , 2004 (2004), 1 \u2013 26 . Barbara Kitchenham. 2004. Procedures for performing systematic reviews. Keele, UK, Keele University 33, 2004 (2004), 1\u201326.","journal-title":"Keele University"},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.4149\/cai_2018_1_76"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.4149\/cai_2018_4_781"},{"key":"e_1_2_1_49_1","first-page":"62","article-title":"Energy-performance optimisation for the dynamic consolidation of virtual machines in cloud computing","volume":"9","author":"Li H.","year":"2018","unstructured":"H. Li , T. Li , and Z. Shuhua . 2018 . Energy-performance optimisation for the dynamic consolidation of virtual machines in cloud computing . Int. J. Serv. Oper. Inform. 9 , 1 (2018), 62 \u2013 82 . H. Li, T. Li, and Z. Shuhua. 2018. Energy-performance optimisation for the dynamic consolidation of virtual machines in cloud computing. Int. J. Serv. Oper. Inform. 9, 1 (2018), 62\u201382.","journal-title":"Int. J. Serv. Oper. Inform."},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2891567"},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2017.2688445"},{"key":"e_1_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-018-2408-4"},{"key":"e_1_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.09.075"},{"key":"e_1_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSEC.2017.8446915"},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2835670"},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICEBE.2018.00052"},{"key":"e_1_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.suscom.2018.02.001"},{"key":"e_1_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1109\/I2CT.2018.8529739"},{"key":"e_1_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2017.11.003"},{"key":"e_1_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2018.11.021"},{"key":"e_1_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2785280"},{"key":"e_1_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-018-2626-9"},{"key":"e_1_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/UCC.2018.00019"},{"key":"e_1_2_1_64_1","first-page":"3890","article-title":"Energy-aware adaptive four thresholds technique for optimal virtual machine placement","volume":"8","author":"Mohazabiyeh A. R.","year":"2018","unstructured":"A. R. Mohazabiyeh and K. H. Amirizadeh . 2018 . Energy-aware adaptive four thresholds technique for optimal virtual machine placement . Int. J. Electric. Comput. Eng. 8 , 5 (2018), 3890 . A. R. Mohazabiyeh and K. H. Amirizadeh. 2018. Energy-aware adaptive four thresholds technique for optimal virtual machine placement. Int. J. Electric. Comput. Eng. 8, 5 (2018), 3890.","journal-title":"Int. J. Electric. Comput. Eng."},{"key":"e_1_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-018-2846-z"},{"key":"e_1_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISPDC2018.2018.00015"},{"key":"e_1_2_1_67_1","first-page":"416","article-title":"Priority-aware virtual machine selection algorithm in dynamic consolidation","volume":"9","author":"Nadeem Hanan A.","year":"2018","unstructured":"Hanan A. Nadeem and Mai A. Fadel . 2018 . Priority-aware virtual machine selection algorithm in dynamic consolidation . Int. J. Adv. Comput. Sci. Applic. 9 , 11 (2018), 416 \u2013 420 . Hanan A. Nadeem and Mai A. Fadel. 2018. Priority-aware virtual machine selection algorithm in dynamic consolidation. Int. J. Adv. Comput. Sci. Applic. 9, 11 (2018), 416\u2013420.","journal-title":"Int. J. Adv. Comput. Sci. Applic."},{"key":"e_1_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-018-2431-5"},{"key":"e_1_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-017-2071-1"},{"key":"e_1_2_1_70_1","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1109\/TSC.2017.2648791","article-title":"Virtual machine consolidation with multiple usage prediction for energy-efficient cloud data centers","volume":"13","author":"Nguyen Trung Hieu","year":"2017","unstructured":"Trung Hieu Nguyen , Mario Di Francesco , and Antti Yla-Jaaski . 2017 . Virtual machine consolidation with multiple usage prediction for energy-efficient cloud data centers . IEEE Trans. Serv. Comput. 13 , 1 (2017), 186 \u2013 199 . Trung Hieu Nguyen, Mario Di Francesco, and Antti Yla-Jaaski. 2017. Virtual machine consolidation with multiple usage prediction for energy-efficient cloud data centers. IEEE Trans. Serv. Comput. 13, 1 (2017), 186\u2013199.","journal-title":"IEEE Trans. Serv. Comput."},{"key":"e_1_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1109\/NCCA.2012.29"},{"key":"e_1_2_1_72_1","volume-title":"A guide to conducting a standalone systematic literature review. Commun. Assoc. Inf. Syst. 37","author":"Okoli Chitu","year":"2015","unstructured":"Chitu Okoli . 2015. A guide to conducting a standalone systematic literature review. Commun. Assoc. Inf. Syst. 37 ( 2015 ). Chitu Okoli. 2015. A guide to conducting a standalone systematic literature review. Commun. Assoc. Inf. Syst. 37 (2015)."},{"key":"e_1_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSUSC.2020.2983571"},{"key":"e_1_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid.2015.15"},{"key":"e_1_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1002\/dac.3490"},{"key":"e_1_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2017.10.009"},{"key":"e_1_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCECE.2018.8447754"},{"key":"e_1_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-018-2709-7"},{"key":"e_1_2_1_79_1","doi-asserted-by":"publisher","DOI":"10.1109\/RAIT.2018.8389047"},{"key":"e_1_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2018.2822627"},{"key":"e_1_2_1_81_1","volume-title":"Energy-aware consolidation for cloud computing. Clust. Comput. 12 (11","author":"Srikantaiah Shekhar","year":"2008","unstructured":"Shekhar Srikantaiah , Aman Kansal , and Feng Zhao . 2008. Energy-aware consolidation for cloud computing. Clust. Comput. 12 (11 2008 ), 1\u20135. Shekhar Srikantaiah, Aman Kansal, and Feng Zhao. 2008. Energy-aware consolidation for cloud computing. Clust. Comput. 12 (11 2008), 1\u20135."},{"key":"e_1_2_1_82_1","volume-title":"IEEE\/ACM 11th International Conference on Utility and Cloud Computing (UCC). IEEE, 114\u2013123","author":"Tarafdar A.","unstructured":"A. Tarafdar , S. Khatua , and R. K. Das . 2018. QoS aware energy efficient VM consolidation techniques for a virtualized data center . In IEEE\/ACM 11th International Conference on Utility and Cloud Computing (UCC). IEEE, 114\u2013123 . A. Tarafdar, S. Khatua, and R. K. Das. 2018. QoS aware energy efficient VM consolidation techniques for a virtualized data center. In IEEE\/ACM 11th International Conference on Utility and Cloud Computing (UCC). IEEE, 114\u2013123."},{"key":"e_1_2_1_83_1","doi-asserted-by":"publisher","DOI":"10.1002\/dac.3870"},{"key":"e_1_2_1_84_1","volume-title":"Knapsack Problems: Algorithms and Computer Implementations","author":"Toth Paolo","year":"1990","unstructured":"Paolo Toth and Silvano Martello . 1990 . Knapsack Problems: Algorithms and Computer Implementations . Wiley . Paolo Toth and Silvano Martello. 1990. Knapsack Problems: Algorithms and Computer Implementations. Wiley."},{"key":"e_1_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2005.163"},{"key":"e_1_2_1_86_1","doi-asserted-by":"publisher","DOI":"10.1002\/ett.3434"},{"key":"e_1_2_1_87_1","volume-title":"Tsunami of data could consume one fifth of global electricity by","author":"Vidal John","year":"2025","unstructured":"John Vidal . 2017. Tsunami of data could consume one fifth of global electricity by 2025 . Clim. Home News 11 (2017). John Vidal. 2017. Tsunami of data could consume one fifth of global electricity by 2025. Clim. Home News 11 (2017)."},{"key":"e_1_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2813541"},{"key":"e_1_2_1_89_1","unstructured":"J. Wang X. Sun W. Song and L. Tang. 2018. Resource scheduling method based on Bayes for cloud computing. J. Inf. Hiding Multimedia Sig. Process. 9 (11 2018) 1444\u20131451.  J. Wang X. Sun W. Song and L. Tang. 2018. Resource scheduling method based on Bayes for cloud computing. J. Inf. Hiding Multimedia Sig. Process. 9 (11 2018) 1444\u20131451."},{"key":"e_1_2_1_90_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.04.075"},{"key":"e_1_2_1_91_1","doi-asserted-by":"publisher","DOI":"10.3390\/fi10060052"},{"key":"e_1_2_1_92_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2872750"},{"key":"e_1_2_1_93_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-018-1874-1"},{"key":"e_1_2_1_94_1","volume-title":"IEEE Workshop on Electronics, Computer and Applications. IEEE, 433\u2013437","author":"Ye Hanmin","year":"2014","unstructured":"Hanmin Ye , Zihang Song , and Qianting Sun . 2014 . Design of green data center deployment model based on cloud computing and TIA942 heat dissipation standard . In IEEE Workshop on Electronics, Computer and Applications. IEEE, 433\u2013437 . Hanmin Ye, Zihang Song, and Qianting Sun. 2014. Design of green data center deployment model based on cloud computing and TIA942 heat dissipation standard. In IEEE Workshop on Electronics, Computer and Applications. IEEE, 433\u2013437."},{"key":"e_1_2_1_95_1","doi-asserted-by":"crossref","unstructured":"F. Zhang G. Liu X. Fu and R. Yahyapour. 2018. A survey on virtual machine migration: challenges techniques and open issues. IEEE Commun. Surv. Tutor. 20 2 (1 2018) 1206\u20131243.  F. Zhang G. Liu X. Fu and R. Yahyapour. 2018. A survey on virtual machine migration: challenges techniques and open issues. IEEE Commun. Surv. Tutor. 20 2 (1 2018) 1206\u20131243.","DOI":"10.1109\/COMST.2018.2794881"},{"key":"e_1_2_1_96_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.07.048"},{"key":"e_1_2_1_97_1","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.4942"}],"container-title":["ACM Computing Surveys"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3470972","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3470972","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:41Z","timestamp":1750195721000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3470972"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,4]]},"references-count":97,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2022,11,30]]}},"alternative-id":["10.1145\/3470972"],"URL":"https:\/\/doi.org\/10.1145\/3470972","relation":{},"ISSN":["0360-0300","1557-7341"],"issn-type":[{"value":"0360-0300","type":"print"},{"value":"1557-7341","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,4]]},"assertion":[{"value":"2020-09-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-10-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}