Paper Info
Title
Energy-Aware Virtual Machine Migration Models in a Scalable Cluster of Servers
Abstract
In clusters of servers like cloud computing systems, computation resources like CPUs and storages are virtualized. Virtual machines are now widely used to support applications with virtual computation service on computation resources. Application processes are performed on virtual machines independently of which servers of which architectures are used. Furthermore, a virtual machine can migrate from a host server to a guest server while processes are being performed on the virtual machines. In this paper, we take advantage of the migration technologies of virtual machines to reduce the electric energy consumed by servers. We propose a modified simple virtual machine migration (MSVM) algorithm to migrate a virtual machine to another energy-efficient server in order to reduce the electric energy consumption. Here, the amount of computation to be performed by processes on a virtual machine is estimated only by using the number of the processes. We show the total electric energy consumption of the servers can be reduced in the MSVM algorithm compared with non-migration algorithms.
Year
DOI
Venue
2017
10.1109/AINA.2017.141
2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA)
Keywords
Field
DocType
Virtual machine,Migration,Energy-aware virtual machine migration algorithm,MSVM algorithm
Electric energy consumption,Virtual machine,Computer science,Temporal isolation among virtual machines,Server,Data diffusion machine,Energy consumption,Kernel virtual address space,Operating system,Scalability,Distributed computing
Conference
ISSN
ISBN
Citations 
1550-445X
978-1-5090-6030-6
7
PageRank 
References 
Authors
0.49
20
4
Name
Order
Citations
PageRank
Ryo Watanabe13510.66
Dilawaer Duolikun239145.35
Tomoya Enokido31990240.21
Makoto Takizawa43180440.50