Hybrid Task Scheduling Method for Cloud Computing by Genetic and DE Algorithms

Hybrid Task Scheduling Method for Cloud Computing by Genetic and DE Algorithms Cloud computing is a new technology which provides online services to the consumers. In order to have a high efficiency in cloud computing, proper task scheduling is required. Since the task scheduling in cloud computing is regarded as an NP complete problem, so traditional heuristic algorithms do not have the required efficiency in this environment. Therefore, recently, the majority of the proposed task scheduling algorithms have focused on hybrid meta-heuristic methods for task scheduling. In this paper, we proposed a hybrid meta-heuristic method by using HEFT algorithm. The obtained results of the simulation and statistical analysis revealed that the proposed algorithm outperforms three other heuristic and genetic algorithms in terms of the makespan in the randomly Direct Acyclic Graphs (DAGs). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Personal Communications Springer Journals

Hybrid Task Scheduling Method for Cloud Computing by Genetic and DE Algorithms

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
ISSN
0929-6212
eISSN
1572-834X
D.O.I.
10.1007/s11277-017-4839-2
Publisher site
See Article on Publisher Site

Abstract

Cloud computing is a new technology which provides online services to the consumers. In order to have a high efficiency in cloud computing, proper task scheduling is required. Since the task scheduling in cloud computing is regarded as an NP complete problem, so traditional heuristic algorithms do not have the required efficiency in this environment. Therefore, recently, the majority of the proposed task scheduling algorithms have focused on hybrid meta-heuristic methods for task scheduling. In this paper, we proposed a hybrid meta-heuristic method by using HEFT algorithm. The obtained results of the simulation and statistical analysis revealed that the proposed algorithm outperforms three other heuristic and genetic algorithms in terms of the makespan in the randomly Direct Acyclic Graphs (DAGs).

Journal

Wireless Personal CommunicationsSpringer Journals

Published: Aug 14, 2017

References

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