Research Article

Dynamic Load Balancing in Cloud Computing using Swarm Intelligence Algorithms

by  Abhijit Patil, Harshal Gala, Jai Kapoor
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Issue 15
Published: November 2015
Authors: Abhijit Patil, Harshal Gala, Jai Kapoor
10.5120/ijca2015907172
PDF

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 },
                        year    = { 2015 },
                        volume  = { 130 },
                        number  = { 15 },
                        pages   = { 15-21 },
                        doi     = { 10.5120/ijca2015907172 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2015
                        %A Abhijit Patil
                        %A Harshal Gala
                        %A Jai Kapoor
                        %T Dynamic Load Balancing in Cloud Computing using Swarm Intelligence Algorithms%T 
                        %J International Journal of Computer Applications
                        %V 130
                        %N 15
                        %P 15-21
                        %R 10.5120/ijca2015907172
                        %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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  • International Journal of Computer Applications (0975 – 8887) Volume 5– No.4, August 2010 1 Comparative Analysis of Ant Colony and Particle Swarm Optimization Techniques
  • 2014 International Conference of Intelligent Computing Application-A load balancing model in public cloud using ANFIS and GSO
  • Intelligent water drops algorithm A new optimization method for solving the multiple knapsack problem
  • 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
No index terms available.
Keywords

Cloud computing load balancing swarm intelligence.

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