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It\u2019s critical to reduce the energy consumption of large-scale data centers while guaranteeing quality of service (QoS), especially the energy consumption of video cloud computing platforms. The application of virtual machine (VM) consolidation has been regarded as a promising approach to improve resource utilization and save energy of the data centers. In this paper, an energy efficient and QoS-aware VM consolidation method is proposed to address the issues. A combined prediction model based on grey model and ARIMA is applied to host status detection, and we provide a new scheme that VM placement policy based on resource utilization and varying energy consumption to search most suitable host and VM selection policy called AUMT selecting VM with low average CPU utilization and migration time. Extensive experimental results based on the cloudsim simulator demonstrate that proposed approach enables to achieve the objectives reducing energy consumption, number of migrations, SLAV and ESV by an average of 56.07%, 79.21%, 91.01% and 84.34% compared with the benchmark methods and the AUMT can reduce energy consumption, the number of migrations and ESV by an average of 15.46%, 28.11% and 3.96% compared with the state-of-the-art method.<\/jats:p>","DOI":"10.1186\/s13677-022-00309-2","type":"journal-article","created":{"date-parts":[[2022,9,24]],"date-time":"2022-09-24T15:15:59Z","timestamp":1664032559000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Research on virtual machine consolidation strategy based on combined prediction and energy-aware in cloud computing platform"],"prefix":"10.1186","volume":"11","author":[{"given":"Jinjiang","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hangyu","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junyang","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yixin","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yalin","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,9,24]]},"reference":[{"key":"309_CR1","unstructured":"Koomey JG (2007) Estimating total power consumption by servers in the us and the world"},{"key":"309_CR2","doi-asserted-by":"crossref","unstructured":"Shehabi A, Smith SJ, Sartor DA, Brown RE, Herrlin M, Koomey JG, Masanet ER, Horner N, Azevedo IL, Lintner W\u00a0(2016) United states data center energy usage report","DOI":"10.2172\/1372902"},{"issue":"5","key":"309_CR3","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1145\/1165389.945462","volume":"37","author":"P Barham","year":"2003","unstructured":"Barham P, Dragovic B, Fraser K, Hand S, Harris T, Ho A, Neugebauer R, Pratt I, Warfield A (2003) https:\/\/doi.org\/10.1145\/1165389.945462Xen and the art of virtualization. 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