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Hybrid Algorithm for Load Balancing in Cloud Computing Environment

Author(s):

Pooja Yadav , PATEL GROUP OF INSTITUTE,INDORE(Mp); Prof. Abhilasha Vyas, patel group of institute,indore

Keywords:

Ant Colony Optimization, genetic algorithm, Load Balancing Throttled

Abstract

Cloud computing is a technique for distributed system where software and hardware resources will be distributed during the networked Cloud and every services obtain collectively on the source of customer necessities as they require. In cloud computing Load Balancing is forever a big challenge between network researchers. This is since if network load is uniformly alienated onto the complete network it provides closer connectivity on application level as well on hardware level. Our proposed hybrid algorithm focused on utilization of resource and response time based on load balancing using Ant Colony Optimization with modified that genetic algorithm through the facilitate of partial population. our hybrid algorithm that is combination of Throttled and Equal load share algorithm and Round Robin reduction scheme that will help to gratify the request of customer services.

Other Details

Paper ID: IJSRDV5I40001
Published in: Volume : 5, Issue : 4
Publication Date: 01/07/2017
Page(s): 215-217

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