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Performance Analysis of Cloud under different Virtual Machine Capacity

by V. Suresh Kumar, M. Aramudhan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 8
Year of Publication: 2013
Authors: V. Suresh Kumar, M. Aramudhan
10.5120/11596-6952

V. Suresh Kumar, M. Aramudhan . Performance Analysis of Cloud under different Virtual Machine Capacity. International Journal of Computer Applications. 68, 8 ( April 2013), 1-4. DOI=10.5120/11596-6952

@article{ 10.5120/11596-6952,
author = { V. Suresh Kumar, M. Aramudhan },
title = { Performance Analysis of Cloud under different Virtual Machine Capacity },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 8 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number8/11596-6952/ },
doi = { 10.5120/11596-6952 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:27:14.581757+05:30
%A V. Suresh Kumar
%A M. Aramudhan
%T Performance Analysis of Cloud under different Virtual Machine Capacity
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 8
%P 1-4
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is an upcoming, novel, realistic paradigm to host and deliver internet services. Cloud computing helps to plan accurately for provisioning of hardware or software and also eradicates the need of high-priced computing hardware and maintenance. Using virtualization, clouds handle shared collection of physical resources in a huge user base having differing requirements. Hence, clouds are substitute for grids, clusters and supercomputers, but in challenging scientific computing workloads virtualization leads to performance penalties. This paper investigates cloud performance analysis under different Virtual Machine (VM) capacity. VM parameters like RAM and processors number are varied, and resource allocation, CloudSim debt and VM percentage used are also studied.

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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Virtualization Virtual Machines Cloudsim Debt

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