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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Main Author: AHMED ABBA, HARUNA
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.22457 /
Published: 2013
Subjects:
QA75 Electronic computers. Computer science
Online Access: http://utpedia.utp.edu.my/22457/1/209354~1.PDF
http://utpedia.utp.edu.my/22457/
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id utp-utpedia.22457
recordtype eprints
spelling 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.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic QA75 Electronic computers. Computer science
spellingShingle 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_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_ 1741195821483819008
score 11.62408

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