A Hybrid Approach Towards Improving Performance of Load Balancing Using Genetic Algorithm and Logarithmic Least Square Technique

Sadhu Ravisha; Jignesh Vania

A Hybrid Approach Towards Improving Performance of Load Balancing Using Genetic Algorithm and Logarithmic Least Square Technique

May 2016

Vol-2, Issue-3

Paper ID: 2321

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Cloud Computing Load balancing Logarithmic Least Square Method Genetic Algorithm Virtual Machine Selection Crossover Mutation

Abstract

Load balancing is the major issue over cloud.Many techniques have been proposed to improve performance of load balancing in cloud computing.Genetic Algorithm uses natural strategy for solving problem hence it can give optimal solution and can give better load balancing than other load balancing algorithms.Genetic Algorithm uses random selection of machines as input and perform crossover and mutation for load balancing.But Genetic Algorithm has issues such as complex cost function,VM underutilization and low performance.The proposed algorithm uses hybrid approach which combines Logarithmic Least Square Technique with Genetic Algorithm.The proposed algorithm modifies fitness function and selection strategy to solve issues mentioned above and to improve performance of Genetic Algorithm.In proposed algorithm,virtual machines are given priorities using Logarithmic Least Square Matrix Technique and then this prioritized input is given to Genetic Algorithm.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Sadhu Ravisha	L.J Institute of Engineering and Technology
2	Jignesh Vania	L.J Institute of Engineering and Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

Ravisha, Sadhu & Vania, Jignesh (2016). A Hybrid Approach Towards Improving Performance of Load Balancing Using Genetic Algorithm and Logarithmic Least Square Technique. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 649-653.

MLA Style

Ravisha, Sadhu, and Jignesh Vania. "A Hybrid Approach Towards Improving Performance of Load Balancing Using Genetic Algorithm and Logarithmic Least Square Technique." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 649-653.

IEEE Style

Sadhu Ravisha and Jignesh Vania, "A Hybrid Approach Towards Improving Performance of Load Balancing Using Genetic Algorithm and Logarithmic Least Square Technique," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 649-653, 2016.

Vancouver Style

Ravisha Sadhu, Vania Jignesh. A Hybrid Approach Towards Improving Performance of Load Balancing Using Genetic Algorithm and Logarithmic Least Square Technique. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):649-653.

Harvard Style

Ravisha, Sadhu & Vania, Jignesh (2016) 'A Hybrid Approach Towards Improving Performance of Load Balancing Using Genetic Algorithm and Logarithmic Least Square Technique', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 649-653.

Chicago Style

Ravisha, Sadhu and Jignesh Vania. "A Hybrid Approach Towards Improving Performance of Load Balancing Using Genetic Algorithm and Logarithmic Least Square Technique." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 649-653.

Turabian Style

Ravisha, Sadhu and Jignesh Vania. "A Hybrid Approach Towards Improving Performance of Load Balancing Using Genetic Algorithm and Logarithmic Least Square Technique." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 649-653.