Volume & Issue no: Volume 3, Issue 7, July 2014
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Title: |
TASK SCHEDULING OPTIMIZATION OF INDEPENDENT TASKS IN CLOUD COMPUTING USING ENHANCED GENETIC ALGORITHM |
Author Name: |
Shekhar Singh, Mala Kalra |
Abstract: |
ABSTRACT
Parallel and distributed computing has been entered into the era of cloud computing which provides highly scalable
computational power and remote location data storage with secure, fast and in cost effective way. So it has captured the attention
of big IT giants for availing flexible, readily elastic and cost effective economical IT operations. Cloud computing environments
provide dynamically manageable virtualized computing resources. The management of these resources is taking big account in
cloud. So the scheduling has of vital importance in cloud computing. In this paper, we give an elaborate idea about Genetic
Algorithm and its several variants proposed for task scheduling in cloud environment and idea of GA based scheduler is proposed
in which population is produced by Enhanced Max Min by which makespan can be reduced and load of resources can be
balanced.
Keywords: Cloud Computing, Task Scheduling, Genetic Algorithm (GA), Efficient GA. |
Cite this article: |
Shekhar Singh, Mala Kalra , "
TASK SCHEDULING OPTIMIZATION OF INDEPENDENT TASKS IN CLOUD COMPUTING USING ENHANCED GENETIC ALGORITHM" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) ,
Volume 3, Issue 7, July 2014 , pp.
286-291 , ISSN 2319 - 4847.
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