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The idea of the mapping of virtual machines over physical machines is to lessen the count of physical machines used inside the data center. In the proposed algorithm, the problem of VM placement is formulated using a non-dominated sorting genetic algorithm based multi-objective optimization. The objectives are: optimization of the energy consumption, reduction of the level of SLA violation and the minimization of the migration count.<\/jats:p>","DOI":"10.4018\/ijisp.2019010101","type":"journal-article","created":{"date-parts":[[2018,11,23]],"date-time":"2018-11-23T10:52:15Z","timestamp":1542970335000},"page":"1-16","source":"Crossref","is-referenced-by-count":13,"title":["Energy and SLA Efficient Virtual Machine Placement in Cloud Environment Using Non-Dominated Sorting Genetic Algorithm"],"prefix":"10.4018","volume":"13","author":[{"given":"Oshin","family":"Sharma","sequence":"first","affiliation":[{"name":"PES University, Bangalore, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2957-1491","authenticated-orcid":true,"given":"Hemraj","family":"Saini","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, India"}]}],"member":"2432","reference":[{"key":"IJISP.2019010101-0","doi-asserted-by":"crossref","unstructured":"Adamuthe, A. 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