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A Bee Colony based Multi-Objective Load Balancing Technique for Cloud Computing Environment

by Ashish Soni, Gagan Vishwakarma, Yogendra Kumar Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 4
Year of Publication: 2015
Authors: Ashish Soni, Gagan Vishwakarma, Yogendra Kumar Jain
10.5120/19967-1825

Ashish Soni, Gagan Vishwakarma, Yogendra Kumar Jain . A Bee Colony based Multi-Objective Load Balancing Technique for Cloud Computing Environment. International Journal of Computer Applications. 114, 4 ( March 2015), 19-25. DOI=10.5120/19967-1825

@article{ 10.5120/19967-1825,
author = { Ashish Soni, Gagan Vishwakarma, Yogendra Kumar Jain },
title = { A Bee Colony based Multi-Objective Load Balancing Technique for Cloud Computing Environment },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 4 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number4/19967-1825/ },
doi = { 10.5120/19967-1825 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:51:49.100752+05:30
%A Ashish Soni
%A Gagan Vishwakarma
%A Yogendra Kumar Jain
%T A Bee Colony based Multi-Objective Load Balancing Technique for Cloud Computing Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 4
%P 19-25
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the recent development of open cloud systems a surge in outsourcing assignments from an internal server to a cloud supplier has been seen. The Cloud can facilitate its clients enormous resources hence even during heavy load conditions. Since the cloud needed to be handle multiple clients workload at same time and each client may have different resource requirements hence choosing proper resources for given workload in such a system, in any case, is a difficult problem. This paper addresses this streamlining issue in a cloud system with different client's priority groups and resource requirements and proposes a bee colony based Multi-Objective load balancing technique, to attain efficient load scheduling over virtual machines under cloud. The proposed algorithm assigns the workload on the virtual machines in such a way that it minimizes the total processing cost in cloud without sacrificing priority of tasks and load management performance.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Scheduling Load Balancing Bee Colony Optimization

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