New Hybrid Algorithm for Task Scheduling in Grid Computing to Decrease missed Task
| Main Authors: | Z. Pooranian, A. Harounabadi, M. Shojafar, N. Hedayat |
|---|---|
| Format: | Article eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2011
|
| Online Access: |
https://zenodo.org/record/1332154 |
| ctrlnum |
1332154 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Z. Pooranian</creator><creator>A. Harounabadi</creator><creator>M. Shojafar</creator><creator>N. Hedayat</creator><date>2011-07-28</date><description>The purpose of Grid computing is to utilize
computational power of idle resources which are distributed in
different areas. Given the grid dynamism and its decentralize
resources, there is a need for an efficient scheduler for scheduling
applications. Since task scheduling includes in the NP-hard problems
various researches have focused on invented algorithms especially
the genetic ones. But since genetic is an inherent algorithm which
searches the problem space globally and does not have the efficiency
required for local searching, therefore, its combination with local
searching algorithms can compensate for this shortcomings. The aim
of this paper is to combine the genetic algorithm and GELS (GAGELS)
as a method to solve scheduling problem by which
simultaneously pay attention to two factors of time and number of
missed tasks. Results show that the proposed algorithm can decrease
makespan while minimizing the number of missed tasks compared
with the traditional methods.</description><identifier>https://zenodo.org/record/1332154</identifier><identifier>10.5281/zenodo.1332154</identifier><identifier>oai:zenodo.org:1332154</identifier><language>eng</language><relation>doi:10.5281/zenodo.1332153</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>International Journal of Information, Control and Computer Sciences 4.0(7)</source><title>New Hybrid Algorithm for Task Scheduling in Grid Computing to Decrease missed Task</title><type>Journal:Article</type><type>Journal:Article</type><recordID>1332154</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Journal:eJournal |
| author |
Z. Pooranian A. Harounabadi M. Shojafar N. Hedayat |
| title |
New Hybrid Algorithm for Task Scheduling in Grid Computing to Decrease missed Task |
| publishDate |
2011 |
| url |
https://zenodo.org/record/1332154 |
| contents |
The purpose of Grid computing is to utilize
computational power of idle resources which are distributed in
different areas. Given the grid dynamism and its decentralize
resources, there is a need for an efficient scheduler for scheduling
applications. Since task scheduling includes in the NP-hard problems
various researches have focused on invented algorithms especially
the genetic ones. But since genetic is an inherent algorithm which
searches the problem space globally and does not have the efficiency
required for local searching, therefore, its combination with local
searching algorithms can compensate for this shortcomings. The aim
of this paper is to combine the genetic algorithm and GELS (GAGELS)
as a method to solve scheduling problem by which
simultaneously pay attention to two factors of time and number of
missed tasks. Results show that the proposed algorithm can decrease
makespan while minimizing the number of missed tasks compared
with the traditional methods. |
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IOS17403.1332154 |
| institution |
Universitas PGRI Palembang |
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Perpustakaan Universitas PGRI Palembang |
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Marga Life in South Sumatra in the Past: Puyang Concept Sacrificed and Demythosized |
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KOTA PALEMBANG |
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SUMATERA SELATAN |
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