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Dynamic Load Balancing in Cloud Computing using Swarm Intelligence Algorithms

by Abhijit Patil, Harshal Gala, Jai Kapoor
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 15
Year of Publication: 2015
Authors: Abhijit Patil, Harshal Gala, Jai Kapoor
10.5120/ijca2015907172

Abhijit Patil, Harshal Gala, Jai Kapoor . Dynamic Load Balancing in Cloud Computing using Swarm Intelligence Algorithms. International Journal of Computer Applications. 130, 15 ( November 2015), 15-21. DOI=10.5120/ijca2015907172

@article{ 10.5120/ijca2015907172,
author = { Abhijit Patil, Harshal Gala, Jai Kapoor },
title = { Dynamic Load Balancing in Cloud Computing using Swarm Intelligence Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 15 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 15-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number15/23285-2015907172/ },
doi = { 10.5120/ijca2015907172 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:25:41.377413+05:30
%A Abhijit Patil
%A Harshal Gala
%A Jai Kapoor
%T Dynamic Load Balancing in Cloud Computing using Swarm Intelligence Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 15
%P 15-21
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today’s world, smart-phones and tablets have allowed cloud computing to realize it’s true potential. It allows the users to use software, services and data on the go. This has resulted in increased study on cloud computing. With increased research in cloud computing, emphasis has been made in load balancing that allocates resources to multiple devices. Load balancing has played an important role in cloud computing by ensuring optimal use of resources with highest efficiency. The use of load balancing in the form of software and hardware has led many to discover new algorithms to achieve the same with better efficiency and minimum response time. This article discusses about the load balancing algorithms especially, swarm intelligence algorithms that can be used to balance load across devices. The algorithms taken into account are-PSO, Ant Colony Optimization, GSO and IWD.A study on advantages and limitations of the algorithm is made in order to realize the advantages of use of each algorithm in load balancing in it’s own way.

References
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  5. 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN) Performance Study of Some Dynamic Load Balancing Algorithms in Cloud Computing Environment.
  6. An intelligent water drops algorithm based service selection and composition in service oriented architecture.
  7. Load balancing in a network using Ant colony optimization technique.
  8. International Journal of Computer Applications (0975 – 8887) Volume 63– No.15, February 2013 8 Comparative Analysis of Various Evolutionary Techniques of Load Balancing: A Review
  9. International Journal of Computer Applications (0975 – 8887) Volume 5– No.4, August 2010 1 Comparative Analysis of Ant Colony and Particle Swarm Optimization Techniques
  10. 2014 International Conference of Intelligent Computing Application-A load balancing model in public cloud using ANFIS and GSO
  11. Intelligent water drops algorithm A new optimization method for solving the multiple knapsack problem
  12. Journal of Convergence Information Technology volume 6 number 2-Feb 2011-Using Load Swarm Optimization Algorithm for Clustering Analysis
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing load balancing swarm intelligence.

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