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

Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)

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  • 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