Paper Info
Title
Pmm: A Novel Prediction Based Vm Migration Scheme In Cloud Computing
Abstract
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.
Year
DOI
Venue
2017
10.1007/978-3-319-50472-8_9
DISTRIBUTED COMPUTING AND INTERNET TECHNOLOGY, (ICDCIT 2017)
Keywords
Field
DocType
Cloud, Datacenter, Energy consumption, Migration, Prediction, History data
Resource management,Virtual machine,Load balancing (computing),Computer science,Markov chain,Minification,Energy consumption,Greenhouse gas,Cloud computing,Distributed computing
Conference
Volume
ISSN
Citations 
10109
0302-9743
0
PageRank 
References 
Authors
0.34
7
4
Name
Order
Citations
PageRank
Srimoyee Bhattacherjee1321.93
Uttiya Sarkar200.34
Sunirmal Khatua312015.00
Sarbani Roy421.08