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Virtual Machine Migration helpful in minimizing energy dissipation, load balancing, and fault management. It is based on the migration and down time with live and non-live categorization. Live VM Migration in data hubs has potential to minimize energy consumption. The proposed Optimized Energy Model Virtual Machine Algorithm is used to calculate each host in the data hub, while the energy consumed by the system in each hour is increasing exponentially then the proposed algorithm is also responsible for reorders the node and the minimizing the energy after reordering. <\/jats:p>","DOI":"10.1142\/s0219265921410334","type":"journal-article","created":{"date-parts":[[2022,2,15]],"date-time":"2022-02-15T12:41:04Z","timestamp":1644928864000},"source":"Crossref","is-referenced-by-count":0,"title":["Improving Energy Efficiency Using Optimized Energy Model Virtual Machine Algorithm in Cloud Computing"],"prefix":"10.1142","volume":"22","author":[{"given":"S.","family":"Manjunatha","sequence":"first","affiliation":[{"name":"Computer Science and Engineering, Cambridge Institute of Technology, India"}]},{"given":"L.","family":"Suresh","sequence":"additional","affiliation":[{"name":"Department of Information Science and Engineering, RNSIT, India"}]}],"member":"219","published-online":{"date-parts":[[2022,2,14]]},"reference":[{"key":"S0219265921410334BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2961786"},{"key":"S0219265921410334BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC.2019.8766542"},{"key":"S0219265921410334BIB003","doi-asserted-by":"publisher","DOI":"10.1109\/AINA.2017.141"},{"key":"S0219265921410334BIB004","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.05.436"},{"key":"S0219265921410334BIB005","first-page":"273","volume-title":"Proc. \u2014 2010 12th IEEE Int. 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