{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T12:02:18Z","timestamp":1747224138156,"version":"3.40.5"},"reference-count":41,"publisher":"IGI Global","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10]]},"abstract":"<jats:p>Cloud computing is a potentially tremendous platform and its presence is experienced in day to day life. Most infrastructure and technology enterprises have migrated to a cloud-based infrastructure and storage. With so much dependence on the cloud as a distributed and reliable platform, but a few issues remain as a challenge and provide food for the ever-active research entity. Considering a very basic aspect of VM migration followed by VM placement, one VM at a time is a prominent approach. This article presents a novel idea of placing two VMs at a time. This proposal is a draft of solution for the Two VM Placement problem. The experimental validation was done against a well-known placement algorithm, the power aware best fit decreasing (PABFD). PABFD and TVMP were applied on a given context and results were obtained for three important parameters, which include the number of VM migrations, reallocation means, and energy efficiency. Improvements on these parameters may prove beneficial.<\/jats:p>","DOI":"10.4018\/ijghpc.2020100102","type":"journal-article","created":{"date-parts":[[2020,9,2]],"date-time":"2020-09-02T14:53:19Z","timestamp":1599058399000},"page":"13-34","source":"Crossref","is-referenced-by-count":3,"title":["Opportunistic Two Virtual Machines Placements in Distributed Cloud Environment"],"prefix":"10.4018","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8063-8650","authenticated-orcid":true,"given":"Kamal","family":"Kumar","sequence":"first","affiliation":[{"name":"National Institute of Technology, Uttarakhand, Srinagar (Garhwal), India"}]},{"given":"Jyoti","family":"Thaman","sequence":"additional","affiliation":[{"name":"Researcher, Chandigarh, India"}]}],"member":"2432","reference":[{"key":"IJGHPC.2020100102-0","doi-asserted-by":"publisher","DOI":"10.1109\/CUBE.2013.12"},{"key":"IJGHPC.2020100102-1","doi-asserted-by":"publisher","DOI":"10.1109\/CloudCom.2013.46"},{"key":"IJGHPC.2020100102-2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2011.04.017"},{"key":"IJGHPC.2020100102-3","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.1867"},{"key":"IJGHPC.2020100102-4","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2011.72"},{"key":"IJGHPC.2020100102-5","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid.2012.119"},{"key":"IJGHPC.2020100102-6","doi-asserted-by":"publisher","DOI":"10.1002\/spe.995"},{"key":"IJGHPC.2020100102-7","doi-asserted-by":"publisher","DOI":"10.1109\/CyberC.2013.28"},{"key":"IJGHPC.2020100102-8","doi-asserted-by":"publisher","DOI":"10.1109\/APSCC.2009.5394134"},{"key":"IJGHPC.2020100102-9","unstructured":"Chang, D., Xu, G., Hu, L., & Yang, K. 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