COMPARATIVE PERFORMANCE OF SOME HYBRID HEURISTICS SCHEDULING ALGORITHMS BASED ON SLTR AND DEADLINE FOR COMPUTATIONAL GRID
Grid computing can be described as form of distributed computing that involves collection ofindependent computers coordinating and sharing computing, application, data storage or network resources using high speed networks across dynamic and geographically distributed environment. Grid scheduling...
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my-utp-utpedia.224572022-02-11T02:26:24Z http://utpedia.utp.edu.my/22457/ COMPARATIVE PERFORMANCE OF SOME HYBRID HEURISTICS SCHEDULING ALGORITHMS BASED ON SLTR AND DEADLINE FOR COMPUTATIONAL GRID AHMED ABBA, HARUNA QA75 Electronic computers. Computer science Grid computing can be described as form of distributed computing that involves collection ofindependent computers coordinating and sharing computing, application, data storage or network resources using high speed networks across dynamic and geographically distributed environment. Grid scheduling is an essential element of a Computational Grid infrastructure. Typical scheduling challenges tend to be NP complete problems where there is no optimal solution. Research on Grid scheduling focuses in solving three challenges: finding a good algorithm, automating the process, and developing a scalable, robust and efficient scheduling mechanism. The complexities involved in scheduling challenges increase with the size ofthe Grid. 2013 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22457/1/209354~1.PDF AHMED ABBA, HARUNA (2013) COMPARATIVE PERFORMANCE OF SOME HYBRID HEURISTICS SCHEDULING ALGORITHMS BASED ON SLTR AND DEADLINE FOR COMPUTATIONAL GRID. Masters thesis, UTP. |
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QA75 Electronic computers. Computer science AHMED ABBA, HARUNA COMPARATIVE PERFORMANCE OF SOME HYBRID HEURISTICS SCHEDULING ALGORITHMS BASED ON SLTR AND DEADLINE FOR COMPUTATIONAL GRID |
description |
Grid computing can be described as form of distributed computing that involves
collection ofindependent computers coordinating and sharing computing, application,
data storage or network resources using high speed networks across dynamic and
geographically distributed environment. Grid scheduling is an essential element of a
Computational Grid infrastructure. Typical scheduling challenges tend to be NP complete problems where there is no optimal solution. Research on Grid scheduling
focuses in solving three challenges: finding a good algorithm, automating the process,
and developing a scalable, robust and efficient scheduling mechanism. The
complexities involved in scheduling challenges increase with the size ofthe Grid. |
format |
Thesis |
author |
AHMED ABBA, HARUNA |
author_facet |
AHMED ABBA, HARUNA |
author_sort |
AHMED ABBA, HARUNA |
title |
COMPARATIVE PERFORMANCE OF SOME HYBRID HEURISTICS
SCHEDULING ALGORITHMS BASED ON SLTR AND DEADLINE FOR
COMPUTATIONAL GRID |
title_short |
COMPARATIVE PERFORMANCE OF SOME HYBRID HEURISTICS
SCHEDULING ALGORITHMS BASED ON SLTR AND DEADLINE FOR
COMPUTATIONAL GRID |
title_full |
COMPARATIVE PERFORMANCE OF SOME HYBRID HEURISTICS
SCHEDULING ALGORITHMS BASED ON SLTR AND DEADLINE FOR
COMPUTATIONAL GRID |
title_fullStr |
COMPARATIVE PERFORMANCE OF SOME HYBRID HEURISTICS
SCHEDULING ALGORITHMS BASED ON SLTR AND DEADLINE FOR
COMPUTATIONAL GRID |
title_full_unstemmed |
COMPARATIVE PERFORMANCE OF SOME HYBRID HEURISTICS
SCHEDULING ALGORITHMS BASED ON SLTR AND DEADLINE FOR
COMPUTATIONAL GRID |
title_sort |
comparative performance of some hybrid heuristics
scheduling algorithms based on sltr and deadline for
computational grid |
publishDate |
2013 |
url |
http://utpedia.utp.edu.my/22457/1/209354~1.PDF http://utpedia.utp.edu.my/22457/ |
_version_ |
1739832947753615360 |
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13.160551 |