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NASLA: Novel Auto Scaling Approach based on Learning Automata for Web Application in Cloud Computing Environment

by Monireh Fallah, Mostafa Ghobaei Arani, Mehrdad Maeen
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 2
Year of Publication: 2015
Authors: Monireh Fallah, Mostafa Ghobaei Arani, Mehrdad Maeen
10.5120/19798-1577

Monireh Fallah, Mostafa Ghobaei Arani, Mehrdad Maeen . NASLA: Novel Auto Scaling Approach based on Learning Automata for Web Application in Cloud Computing Environment. International Journal of Computer Applications. 113, 2 ( March 2015), 18-23. DOI=10.5120/19798-1577

@article{ 10.5120/19798-1577,
author = { Monireh Fallah, Mostafa Ghobaei Arani, Mehrdad Maeen },
title = { NASLA: Novel Auto Scaling Approach based on Learning Automata for Web Application in Cloud Computing Environment },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 2 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number2/19798-1577/ },
doi = { 10.5120/19798-1577 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:49:55.163901+05:30
%A Monireh Fallah
%A Mostafa Ghobaei Arani
%A Mehrdad Maeen
%T NASLA: Novel Auto Scaling Approach based on Learning Automata for Web Application in Cloud Computing Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 2
%P 18-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Considering the growing interest in using cloud services, the accessibility and the effective management of the required resources, irrespective of the time and place, seems to be of great importance both to the service providers and users. One of the best ways for increasing utilization and improving the performance of the cloud systems is the auto-scaling of the applications; this is because of the fact that, due to the scalability of cloud computing, on the one hand, cloud providers believe that sufficient resources have to be prepared for the users, and on the other, the users also have a tendency towards the "pay as you go" system of payment for the resources. This paper seeks to offer an approach, based on the learning automata, for the scalability of the web applications, which combines virtual machine clusters and the learning automata in order to provide the best possible way for the scaling up and scaling down of the virtual machines. The results of this study indicate that the proposed approach has decreased the number of SLA violations (in percentage), while it has a smaller load of scalability compared to the other approaches in this regard.

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Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing Auto scaling Learning automata SLA violation

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