JOURNAL ARTICLE

An Analysis of Swarm Intelligence based Load Balancing Algorithms in a Cloud Computing Environment

Uma SinghalSanjeev Jain

Year: 2015 Journal:   International Journal of Hybrid Information Technology Vol: 8 (1)Pages: 249-256   Publisher: Science and Engineering Research Support Society

Abstract

The current advances in cloud computing layout well established research in Distributed computing, virtualization, web services, utility computing, have provided many advantages in scalability, cost and efficiency for cloud service users.These advantages are further expected to satisfy the demands of cloud users for cloud services in efficient and effective manner.This brings the issue of fault tolerance, scalability, efficiency, high availability.Central to these problems require the dynamic and efficient load balancing techniques.In this paper, we survey a special group of Swarm intelligence based load balancing algorithm and discuss the advantages and issues of these algorithms for cloud computing environment.

Keywords:
Cloud computing Computer science Scalability Distributed computing Load balancing (electrical power) Cloud testing Swarm intelligence Virtualization Fault tolerance Virtual machine Utility computing Algorithm Particle swarm optimization Cloud computing security Database Operating system

Metrics

10
Cited By
5.53
FWCI (Field Weighted Citation Impact)
10
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Data Stream Mining Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications

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