slugLoad Balancing In Cloud Computing Environment Using Pso Algorithm

Abstract

Cloud computing is an entirely internet- based approach where all the applications and files are hosted on a cloud which consists of thousands of computers interlinked together in a complex manner. The HBB load balancing model is not assign task to proper virtual machine and also it does not consider the Quality of Service. In order to overcome the drawback of honeybee algorithm another algorithm called PSO algorithm is used. In PSO algorithm task will be assigned to the virtual machine in best fit manner. i.e task will check all the virtual machine and assigns the task to proper virtual machine which will have least memory wastage as we have taken that as the QoS In this project comprehensive multi - objective model for optimized task scheduling to minimize task completion time and task response time. However, the objective functions in this model are i n conflict with one another. The simulation results show that the proposed method has the ability to find optimal trade - off solutions for task scheduling problems that represent the best possible compromises among the conflicting objectives.

Authors and Affiliations

Anju Baby

Keywords

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  • EP ID EP17847
  • DOI -
  • Views 347
  • Downloads 13

How To Cite

Anju Baby (2014). slugLoad Balancing In Cloud Computing Environment Using Pso Algorithm. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(4), -. https://europub.co.uk/articles/-A-17847