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Experimental performance analysis of job scheduling algorithms on computational grid using real workload traces

Grid, an infrastructure for resource sharing, currently has shown its importance in many scientific applications requiring tremendously high computational power. Grid computing, whose resources are distributed, heterogeneous and dynamic in nature, introduces a number of fascinating issues in job sch...

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Main Authors: Shah, S.N.M., Mahmood, A.K., Rubab, S., Hassan, M.F.
Format: Article
Published: EAI 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032380630&partnerID=40&md5=99dd68cf9fce8f88f4a6c4ab1af52250
http://eprints.utp.edu.my/20125/
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spelling my.utp.eprints.201252018-04-22T14:41:59Z Experimental performance analysis of job scheduling algorithms on computational grid using real workload traces Shah, S.N.M. Mahmood, A.K. Rubab, S. Hassan, M.F. Grid, an infrastructure for resource sharing, currently has shown its importance in many scientific applications requiring tremendously high computational power. Grid computing, whose resources are distributed, heterogeneous and dynamic in nature, introduces a number of fascinating issues in job scheduling. Grid scheduler is the core component of a grid and is responsible for efficient and effective utilization of heterogeneous and distributed resources. This paper presents comparative performance analysis of our proposed job scheduling algorithm with other well known job scheduling algorithms considering the quality of service parameters. The main thrust of this work was to conduct a quality of service based experimental performance evaluation of job scheduling algorithms on computational Grid in true dynamic environment. Experimental evaluation confirmed that proposed scheduling algorithms possess a high degree of optimality in performance, efficiency and scalability. This paper includes statistical analysis of real workload traces to present the nature and behavior of jobs. EAI 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032380630&partnerID=40&md5=99dd68cf9fce8f88f4a6c4ab1af52250 Shah, S.N.M. and Mahmood, A.K. and Rubab, S. and Hassan, M.F. (2017) Experimental performance analysis of job scheduling algorithms on computational grid using real workload traces. COMPSE 2016 - 1st EAI International Conference on Computer Science and Engineering . http://eprints.utp.edu.my/20125/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Grid, an infrastructure for resource sharing, currently has shown its importance in many scientific applications requiring tremendously high computational power. Grid computing, whose resources are distributed, heterogeneous and dynamic in nature, introduces a number of fascinating issues in job scheduling. Grid scheduler is the core component of a grid and is responsible for efficient and effective utilization of heterogeneous and distributed resources. This paper presents comparative performance analysis of our proposed job scheduling algorithm with other well known job scheduling algorithms considering the quality of service parameters. The main thrust of this work was to conduct a quality of service based experimental performance evaluation of job scheduling algorithms on computational Grid in true dynamic environment. Experimental evaluation confirmed that proposed scheduling algorithms possess a high degree of optimality in performance, efficiency and scalability. This paper includes statistical analysis of real workload traces to present the nature and behavior of jobs.
format Article
author Shah, S.N.M.
Mahmood, A.K.
Rubab, S.
Hassan, M.F.
spellingShingle Shah, S.N.M.
Mahmood, A.K.
Rubab, S.
Hassan, M.F.
Experimental performance analysis of job scheduling algorithms on computational grid using real workload traces
author_facet Shah, S.N.M.
Mahmood, A.K.
Rubab, S.
Hassan, M.F.
author_sort Shah, S.N.M.
title Experimental performance analysis of job scheduling algorithms on computational grid using real workload traces
title_short Experimental performance analysis of job scheduling algorithms on computational grid using real workload traces
title_full Experimental performance analysis of job scheduling algorithms on computational grid using real workload traces
title_fullStr Experimental performance analysis of job scheduling algorithms on computational grid using real workload traces
title_full_unstemmed Experimental performance analysis of job scheduling algorithms on computational grid using real workload traces
title_sort experimental performance analysis of job scheduling algorithms on computational grid using real workload traces
publisher EAI
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032380630&partnerID=40&md5=99dd68cf9fce8f88f4a6c4ab1af52250
http://eprints.utp.edu.my/20125/
_version_ 1738656167191642112
score 13.211869

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