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Efficient VM Selection Heuristics for Dynamic VM Consolidation in Cloud Datacenters
2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom), 2018Dynamic Consolidation of Virtual Machines (VMs) in a cloud data center requires live migration of VMs from over-utilized hosts. A primary but relatively an ignored part of consolidation process is the efficient selection of Virtual Machines from an over-utilized host for migration. Two VM selection policies, Threshold Based Selection (TBS) and Capacity
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Evaluation of cluster K-Means as VM selection in dynamic VM consolidation
2016 22nd Asia-Pacific Conference on Communications (APCC), 2016The paper focused on the evaluation of K-Means as VM Selection in Dynamic VM Consolidation. The research has compared the performance of several numbers of cluster K-Means in VM selection with another method such as Minimum Migration Time (MMT) and Random Choice (RC).
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An efficient energy-aware approach for dynamic VM consolidation on cloud platforms
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