Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

An Eco Model of Process Migration with Virtual Machines

Authors: Ryo Watanabe; Dilawaer Duolikun; Tomoya Enokido; Makoto Takizawa 0001;

An Eco Model of Process Migration with Virtual Machines

Abstract

It is critical to reduce the electric energy consumed by servers in clusters. In cloud computing systems, computation resources like CPU, memory, and storages are virtualized so that applications can use the resources without being conscious of which physical servers supports which service. Virtual machine technologies are now used to support applications with virtual computation service. Virtual machines are used to perform application processes issued by clients. More importantly, virtual machines 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 migration technologies of virtual machines to reduce the electric energy consumed by servers in a cluster. By using the virtual machines, we propose an energyaware migration model of processes to decide to which virtual machine a process issued by a client is allocated and which virtual machine migrates to another energy-efficient server in order to reduce the electric energy consumption.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!