PMM: A Novel Prediction Based VM Migration Scheme in Cloud Computing

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• 关键词：Cloud ; Datacenter ; Energy consumption ; Migration ; Prediction ; History data
• 刊名：Lecture Notes in Computer Science
• 出版年：2017
• 出版时间：2017
• 年：2017
• 卷：10109
• 期：1
• 页码：107-117
• 丛书名：Distributed Computing and Internet Technology
• ISBN：978-3-319-50472-8
• 卷排序：10109

文摘

Massive technological advancements has promoted rise in energy costs, cloud computing being one of the key contributors. The cloud datacenters consume huge amount of energy which lead to carbon emissions, detrimental for our environment. Design of resource scheduling, load balancing and migration schemes for virtual machines (VM) in the cloud environment is one of the ways by which energy consumption can be minimized. This work proposes a prediction based VM migration approach (PMM) and explores how the proposed approach can affect the total energy consumption of a datacenter; with the aim to make the technology more environment friendly. PMM has been designed keeping the concept of the well-known Markov chain model in mind. Substantial amount of simulation has been conducted in this work to conclude how a prediction based resource management technique can play vital role in influencing the energy consumption of a cloud datacenter, in comparison to the existing and popular minimization of migrations (MM) policy.