A Hybrid Algorithm Based on Artificial Fish Swarm and Particle Swarm for Effective Job Allocation in Cloud Data Centre

Authors

  • Jisha Lia George Department of Computer Science, Hindustan Institute of Technology and Science, Chennai, Tamilnadu, India

Keywords:

AFS, Cloud Computing, Data Centre Job Allocation, PSO, VM

Abstract

Effective allocation of job is one of the main challenges of cloud computing. The technical objective is to
minimize the makespan and reduce the operational cost. AFSPSO algorithm is a hybrid algorithm of AFS algorithm and
PSO algorithm. This hybrid algorithm helps to allocate the job to the VM within less time when compared to the PSO
algorithm.AFSPSO is a hybrid algorithm which carries out the allocation of jobs to the best VM effectively. So that the
total execution time of job can be reduced. The operational cost can also be minimized. The results shows that AFSPSO
algorithm allocate the job to the VM within less time and less operational cost than the existing methods.

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Published

2018-02-25

How to Cite

Jisha Lia George. (2018). A Hybrid Algorithm Based on Artificial Fish Swarm and Particle Swarm for Effective Job Allocation in Cloud Data Centre . International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 818–822. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2500

Issue

Vol. 5 No. 2 (2018): Volume 5 Issue 2 February 2018

Section

Articles