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Reseach Article

Energy Efficient Live Virtual Machine Provisioning at Cloud Data Centers - A Comparative Study

by Shalini Soni, Vimal Tiwari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 13
Year of Publication: 2015
Authors: Shalini Soni, Vimal Tiwari
10.5120/ijca2015906173

Shalini Soni, Vimal Tiwari . Energy Efficient Live Virtual Machine Provisioning at Cloud Data Centers - A Comparative Study. International Journal of Computer Applications. 125, 13 ( September 2015), 37-42. DOI=10.5120/ijca2015906173

@article{ 10.5120/ijca2015906173,
author = { Shalini Soni, Vimal Tiwari },
title = { Energy Efficient Live Virtual Machine Provisioning at Cloud Data Centers - A Comparative Study },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 13 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 37-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number13/22496-2015906173/ },
doi = { 10.5120/ijca2015906173 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:16:00.218630+05:30
%A Shalini Soni
%A Vimal Tiwari
%T Energy Efficient Live Virtual Machine Provisioning at Cloud Data Centers - A Comparative Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 13
%P 37-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing offers utility-oriented IT services like: pervasive applications from consumer, scientific, and business domains based on a pay-as-you-go model. So, the workload in cloud environment is usually dynamic. At cloud data centers, different virtual machines (VMs) Provisioning techniques cause different CPU utilization. Therefore, VM Provisioning on PMs to improve resource utilization and reduce energy consumption is one of the major concerns for cloud providers. The problem of VM Provisioning includes queuing of VM requests, placing the VMs on hosts, and the optimization of the current VM allocation using Live Migration. The existing VM provisioning schemes are to optimize physical server and network resources utilization, but many of them also focus on optimizing multiple resources utilization simultaneously. The setting up of utilization thresholds for resources is one of the common optimization techniques. The ultimate aim of Cloud providers is to optimize resource usage and reduce energy consumption with the obligation of providing high Quality of Service (QoS) to customers, while maintaining the Service Level Agreements (SLAs). We surveyed various Live Virtual Machine Provisioning techniques and presented the comparison among few benchmark techniques based on adaptive utilization thresholds, as contribution to Green Cloud computing solutions. A performance evaluation study and comparison is done using the CloudSim toolkit.

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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Threshold Cloud Computing (CC) Cloud Providers Energy Energy efficient Quality of Service (QoS) Service Level Agreements (SLA) Virtual Machine (VM) VM Allocation Green computing