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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

Unique Identifier

JETIR1812C42

Page Number

279-282

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Title

A Review On various Resource Scheduling for efficient cloud services

ISSN

2349-5162

Cite This Article

"A Review On various Resource Scheduling for efficient cloud services", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.279-282, December-2018, Available :http://www.jetir.org/papers/JETIR1812C42.pdf

Abstract

As cloud computing is growing rapidly, efficient task scheduling algorithm plays a vital role to improve the resource utilization and enhance overall performance of the cloud computing environment. However, task scheduling is the severe challenge needed to solve urgently in cloud computing. Therefore, the simulated annealing multi-population genetic algorithm (SAMPGA) is proposed for task scheduling in cloud computing, which is the combination of simulated annealing algorithm (SA) and multi-population genetic algorithm (MPGA) in this paper. In population initialization, SAMPGA adopts max-min algorithm to enhance the search efficiency. SA incorporated into SAMPGA is employed to avoid local optimum and improve the performance of global optimum, while a family evolution strategy based on adaptive mechanism in MPGA is proposed to find better solution and improve convergence speed. Finally, experiments are conducted to evaluate the efficiency of the proposed method in MATLAB. Compared with MPGA, SA and simulated annealing genetic algorithm (SAGA), the results of simulation show that the SAMPGA has more excellent performance in terms of the completion time, completion cost, convergence speed and degree of load imbalance.

Key Words

MAX-MIN, RASA, VMs

Cite This Article

"A Review On various Resource Scheduling for efficient cloud services", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp279-282, December-2018, Available at : http://www.jetir.org/papers/JETIR1812C42.pdf

Publication Details

Published Paper ID: JETIR1812C42
Registration ID: 193220
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 279-282
ISSN Number: 2349-5162

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Cite This Article

"A Review On various Resource Scheduling for efficient cloud services", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp279-282, December-2018, Available at : http://www.jetir.org/papers/JETIR1812C42.pdf




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