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Performance Analysis of Web Applications on IaaS Cloud Computing Platform

by Sapna Addamani, Anirban Basu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 15
Year of Publication: 2013
Authors: Sapna Addamani, Anirban Basu
10.5120/10707-5668

Sapna Addamani, Anirban Basu . Performance Analysis of Web Applications on IaaS Cloud Computing Platform. International Journal of Computer Applications. 64, 15 ( February 2013), 1-6. DOI=10.5120/10707-5668

@article{ 10.5120/10707-5668,
author = { Sapna Addamani, Anirban Basu },
title = { Performance Analysis of Web Applications on IaaS Cloud Computing Platform },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 15 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number15/10707-5668/ },
doi = { 10.5120/10707-5668 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:16:29.972960+05:30
%A Sapna Addamani
%A Anirban Basu
%T Performance Analysis of Web Applications on IaaS Cloud Computing Platform
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 15
%P 1-6
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a queuing model for performance analysis of web applications on a Cloud Environment. In this model, the IaaS cloud computing platform is modeled as multiple queues and the virtual machines VMs are modeled as service centers. The instances act as virtual machines and VMs run on servers, its number decided a priori before running an application. The model is based on the Reserved Instances behavior of applications on Amazon EC2 [1]. The web applications running on the Cloud platform were analyzed to determine the statistical distributions of the relevant parameters and experiments were conducted for validation of the model by running the web applications on EC2. Results show that the model though simple can predict the performance accurately.

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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Performance Evaluation Benchmarking Closed Queuing Network JMT Tool

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