Job Scheduling in Grid Computing with Fast Artificial Fish Swarm Algorithm

Job Scheduling in Grid Computing with Fast Artificial Fish Swarm Algorithm

One of the problems in grid computing is job scheduling. It is known that the job scheduling is NP-complete, and thus the use of heuristics is the de facto approach to deal with this practice in its difficulty. The proposed is an apply FAFSA in job scheduling and comparison between FASFA and normal...

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Veröffentlicht in:International journal of computer applications 2014-01, Vol.96 (14), p.1-5
Hauptverfasser: Awad El-bayoumy, M A, Rashad, M Z, Elsoud, M A, El-dosuky, M A
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Algorithms
Computational grids
Fish
Heuristic
Scheduling
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container_end_page 5
container_issue 14
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container_title International journal of computer applications
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creator Awad El-bayoumy, M A
Rashad, M Z
Elsoud, M A
El-dosuky, M A
description One of the problems in grid computing is job scheduling. It is known that the job scheduling is NP-complete, and thus the use of heuristics is the de facto approach to deal with this practice in its difficulty. The proposed is an apply FAFSA in job scheduling and comparison between FASFA and normal AFSA
doi_str_mv 10.5120/16859-6741
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subjects Algorithms
Computational grids
Fish
Heuristic
Scheduling
title Job Scheduling in Grid Computing with Fast Artificial Fish Swarm Algorithm
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