A semantic-based centralized resource discovery model for grid computing

Abdul Khalique Shaikh, Saadat M. Alhashmi, Rajendran Parthiban

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Grid computing aggregates computing resources to execute computationally complex jobs. Identifying an appropriate resource selection mechanism for Grid jobs is a major concern because an appropriate mechanism could helps to schedule and allocate resources better. In existing real grid systems, centralized and hierarchical resource discovery models are very common, where providers publish resources with a fixed schema and users follow the same schema in order to find appropriate resources for jobs. Lack of coordination between users and providers in a highly heterogeneous Grid environment often results in user jobs failing in finding relevant resources. One of the reasons for rejection of jobs is the usage of fixed schema between user requests and provider resources. We present a semantic-based centralized resource discovery model to improve job success probability and utilization of resources. Preliminary simulations carried out using GridSim simulator show improved success probability and enhanced utilization of resources.

Original languageEnglish
Title of host publicationGrid and Distributed Computing - International Conference, GDC 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, Proceedings
Pages161-170
Number of pages10
Volume261 CCIS
DOIs
Publication statusPublished - 2011
EventInternational Conference on Grid and Distributed Computing, GDC 2011, Held as Part of the 3rd International Mega-Conference on Future-Generation Information Technology, FGIT 2011 - Jeju Island, Korea, Republic of
Duration: Dec 8 2011Dec 10 2011

Publication series

NameCommunications in Computer and Information Science
Volume261 CCIS
ISSN (Print)1865-0929

Other

OtherInternational Conference on Grid and Distributed Computing, GDC 2011, Held as Part of the 3rd International Mega-Conference on Future-Generation Information Technology, FGIT 2011
CountryKorea, Republic of
CityJeju Island
Period12/8/1112/10/11

Fingerprint

Grid computing
Semantics
Simulators

Keywords

  • Centralized
  • Grid Computing
  • GridSim
  • Resource Discovery
  • Semantic

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Shaikh, A. K., Alhashmi, S. M., & Parthiban, R. (2011). A semantic-based centralized resource discovery model for grid computing. In Grid and Distributed Computing - International Conference, GDC 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, Proceedings (Vol. 261 CCIS, pp. 161-170). (Communications in Computer and Information Science; Vol. 261 CCIS). https://doi.org/10.1007/978-3-642-27180-9_20

A semantic-based centralized resource discovery model for grid computing. / Shaikh, Abdul Khalique; Alhashmi, Saadat M.; Parthiban, Rajendran.

Grid and Distributed Computing - International Conference, GDC 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, Proceedings. Vol. 261 CCIS 2011. p. 161-170 (Communications in Computer and Information Science; Vol. 261 CCIS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shaikh, AK, Alhashmi, SM & Parthiban, R 2011, A semantic-based centralized resource discovery model for grid computing. in Grid and Distributed Computing - International Conference, GDC 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, Proceedings. vol. 261 CCIS, Communications in Computer and Information Science, vol. 261 CCIS, pp. 161-170, International Conference on Grid and Distributed Computing, GDC 2011, Held as Part of the 3rd International Mega-Conference on Future-Generation Information Technology, FGIT 2011, Jeju Island, Korea, Republic of, 12/8/11. https://doi.org/10.1007/978-3-642-27180-9_20
Shaikh AK, Alhashmi SM, Parthiban R. A semantic-based centralized resource discovery model for grid computing. In Grid and Distributed Computing - International Conference, GDC 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, Proceedings. Vol. 261 CCIS. 2011. p. 161-170. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-642-27180-9_20
Shaikh, Abdul Khalique ; Alhashmi, Saadat M. ; Parthiban, Rajendran. / A semantic-based centralized resource discovery model for grid computing. Grid and Distributed Computing - International Conference, GDC 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, Proceedings. Vol. 261 CCIS 2011. pp. 161-170 (Communications in Computer and Information Science).
@inproceedings{2f2489819e0146e4be114f3209eff49b,
title = "A semantic-based centralized resource discovery model for grid computing",
abstract = "Grid computing aggregates computing resources to execute computationally complex jobs. Identifying an appropriate resource selection mechanism for Grid jobs is a major concern because an appropriate mechanism could helps to schedule and allocate resources better. In existing real grid systems, centralized and hierarchical resource discovery models are very common, where providers publish resources with a fixed schema and users follow the same schema in order to find appropriate resources for jobs. Lack of coordination between users and providers in a highly heterogeneous Grid environment often results in user jobs failing in finding relevant resources. One of the reasons for rejection of jobs is the usage of fixed schema between user requests and provider resources. We present a semantic-based centralized resource discovery model to improve job success probability and utilization of resources. Preliminary simulations carried out using GridSim simulator show improved success probability and enhanced utilization of resources.",
keywords = "Centralized, Grid Computing, GridSim, Resource Discovery, Semantic",
author = "Shaikh, {Abdul Khalique} and Alhashmi, {Saadat M.} and Rajendran Parthiban",
year = "2011",
doi = "10.1007/978-3-642-27180-9_20",
language = "English",
isbn = "9783642271793",
volume = "261 CCIS",
series = "Communications in Computer and Information Science",
pages = "161--170",
booktitle = "Grid and Distributed Computing - International Conference, GDC 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, Proceedings",

}

TY - GEN

T1 - A semantic-based centralized resource discovery model for grid computing

AU - Shaikh, Abdul Khalique

AU - Alhashmi, Saadat M.

AU - Parthiban, Rajendran

PY - 2011

Y1 - 2011

N2 - Grid computing aggregates computing resources to execute computationally complex jobs. Identifying an appropriate resource selection mechanism for Grid jobs is a major concern because an appropriate mechanism could helps to schedule and allocate resources better. In existing real grid systems, centralized and hierarchical resource discovery models are very common, where providers publish resources with a fixed schema and users follow the same schema in order to find appropriate resources for jobs. Lack of coordination between users and providers in a highly heterogeneous Grid environment often results in user jobs failing in finding relevant resources. One of the reasons for rejection of jobs is the usage of fixed schema between user requests and provider resources. We present a semantic-based centralized resource discovery model to improve job success probability and utilization of resources. Preliminary simulations carried out using GridSim simulator show improved success probability and enhanced utilization of resources.

AB - Grid computing aggregates computing resources to execute computationally complex jobs. Identifying an appropriate resource selection mechanism for Grid jobs is a major concern because an appropriate mechanism could helps to schedule and allocate resources better. In existing real grid systems, centralized and hierarchical resource discovery models are very common, where providers publish resources with a fixed schema and users follow the same schema in order to find appropriate resources for jobs. Lack of coordination between users and providers in a highly heterogeneous Grid environment often results in user jobs failing in finding relevant resources. One of the reasons for rejection of jobs is the usage of fixed schema between user requests and provider resources. We present a semantic-based centralized resource discovery model to improve job success probability and utilization of resources. Preliminary simulations carried out using GridSim simulator show improved success probability and enhanced utilization of resources.

KW - Centralized

KW - Grid Computing

KW - GridSim

KW - Resource Discovery

KW - Semantic

UR - http://www.scopus.com/inward/record.url?scp=83755162537&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=83755162537&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-27180-9_20

DO - 10.1007/978-3-642-27180-9_20

M3 - Conference contribution

SN - 9783642271793

VL - 261 CCIS

T3 - Communications in Computer and Information Science

SP - 161

EP - 170

BT - Grid and Distributed Computing - International Conference, GDC 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, Proceedings

ER -