A semantic impact in decentralized resource discovery mechanism for grid computing environments

Abdul Khalique Shaikh, Saadat M. Alhashmi, Rajendran Parthiban

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

2 Citations (Scopus)

Abstract

The requirement of semantic technology has been augmented day by day in IT related applications due to various features including interoperability. Effective development and organization of semantic knowledge are essential for maximum throughput in any application. We extend and develop two sub-domain computer resource ontologies and utilize them in a resource discovery process of a Grid computing environment to reduce the job rejection rate. Grid computing aggregates distributed computing resources to execute computationally complex jobs. The selection of resources in a Grid system involves finding and locating resources based on users' requirements. Identifying an appropriate resource selection mechanism for Grid jobs is a major concern because overall performance of a Grid depends on it and it also helps to schedule and allocate resources. We compute semantic similarity threshold values and employ both extended ontolgies in a decentralized resource discovery model of Grid Computing. The simulation is carried out using GridSim and PlanetSim to evaluate the effectiveness of a semantic resource discovery model. The results show improved success probability for complex jobs and reduce communication overheads compared to the non semantic resource discovery model.

Original languageEnglish
Title of host publicationAlgorithms and Architectures for Parallel Processing - 12th International Conference, ICA3PP 2012, Proceedings
Pages206-216
Number of pages11
Volume7440 LNCS
EditionPART 2
DOIs
Publication statusPublished - 2012
Event12th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2012 - Fukuoka, Japan
Duration: Sep 4 2012Sep 7 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7440 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2012
CountryJapan
CityFukuoka
Period9/4/129/7/12

Fingerprint

Resource Discovery
Grid computing
Grid Computing
Decentralized
Semantics
Resources
Grid
Distributed computer systems
Semantic Similarity
Interoperability
Requirements
Ontology
Distributed Computing
Threshold Value
Rejection
Throughput
Schedule
Model
Communication
Evaluate

Keywords

  • Grid Computing
  • Ontology
  • Resource Discovery
  • Semantic

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Shaikh, A. K., Alhashmi, S. M., & Parthiban, R. (2012). A semantic impact in decentralized resource discovery mechanism for grid computing environments. In Algorithms and Architectures for Parallel Processing - 12th International Conference, ICA3PP 2012, Proceedings (PART 2 ed., Vol. 7440 LNCS, pp. 206-216). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7440 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-33065-0_22

A semantic impact in decentralized resource discovery mechanism for grid computing environments. / Shaikh, Abdul Khalique; Alhashmi, Saadat M.; Parthiban, Rajendran.

Algorithms and Architectures for Parallel Processing - 12th International Conference, ICA3PP 2012, Proceedings. Vol. 7440 LNCS PART 2. ed. 2012. p. 206-216 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7440 LNCS, No. PART 2).

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

Shaikh, AK, Alhashmi, SM & Parthiban, R 2012, A semantic impact in decentralized resource discovery mechanism for grid computing environments. in Algorithms and Architectures for Parallel Processing - 12th International Conference, ICA3PP 2012, Proceedings. PART 2 edn, vol. 7440 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7440 LNCS, pp. 206-216, 12th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2012, Fukuoka, Japan, 9/4/12. https://doi.org/10.1007/978-3-642-33065-0_22
Shaikh AK, Alhashmi SM, Parthiban R. A semantic impact in decentralized resource discovery mechanism for grid computing environments. In Algorithms and Architectures for Parallel Processing - 12th International Conference, ICA3PP 2012, Proceedings. PART 2 ed. Vol. 7440 LNCS. 2012. p. 206-216. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-33065-0_22
Shaikh, Abdul Khalique ; Alhashmi, Saadat M. ; Parthiban, Rajendran. / A semantic impact in decentralized resource discovery mechanism for grid computing environments. Algorithms and Architectures for Parallel Processing - 12th International Conference, ICA3PP 2012, Proceedings. Vol. 7440 LNCS PART 2. ed. 2012. pp. 206-216 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
@inproceedings{e97c314bbe24404fb510524558eda930,
title = "A semantic impact in decentralized resource discovery mechanism for grid computing environments",
abstract = "The requirement of semantic technology has been augmented day by day in IT related applications due to various features including interoperability. Effective development and organization of semantic knowledge are essential for maximum throughput in any application. We extend and develop two sub-domain computer resource ontologies and utilize them in a resource discovery process of a Grid computing environment to reduce the job rejection rate. Grid computing aggregates distributed computing resources to execute computationally complex jobs. The selection of resources in a Grid system involves finding and locating resources based on users' requirements. Identifying an appropriate resource selection mechanism for Grid jobs is a major concern because overall performance of a Grid depends on it and it also helps to schedule and allocate resources. We compute semantic similarity threshold values and employ both extended ontolgies in a decentralized resource discovery model of Grid Computing. The simulation is carried out using GridSim and PlanetSim to evaluate the effectiveness of a semantic resource discovery model. The results show improved success probability for complex jobs and reduce communication overheads compared to the non semantic resource discovery model.",
keywords = "Grid Computing, Ontology, Resource Discovery, Semantic",
author = "Shaikh, {Abdul Khalique} and Alhashmi, {Saadat M.} and Rajendran Parthiban",
year = "2012",
doi = "10.1007/978-3-642-33065-0_22",
language = "English",
isbn = "9783642330643",
volume = "7440 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "206--216",
booktitle = "Algorithms and Architectures for Parallel Processing - 12th International Conference, ICA3PP 2012, Proceedings",
edition = "PART 2",

}

TY - GEN

T1 - A semantic impact in decentralized resource discovery mechanism for grid computing environments

AU - Shaikh, Abdul Khalique

AU - Alhashmi, Saadat M.

AU - Parthiban, Rajendran

PY - 2012

Y1 - 2012

N2 - The requirement of semantic technology has been augmented day by day in IT related applications due to various features including interoperability. Effective development and organization of semantic knowledge are essential for maximum throughput in any application. We extend and develop two sub-domain computer resource ontologies and utilize them in a resource discovery process of a Grid computing environment to reduce the job rejection rate. Grid computing aggregates distributed computing resources to execute computationally complex jobs. The selection of resources in a Grid system involves finding and locating resources based on users' requirements. Identifying an appropriate resource selection mechanism for Grid jobs is a major concern because overall performance of a Grid depends on it and it also helps to schedule and allocate resources. We compute semantic similarity threshold values and employ both extended ontolgies in a decentralized resource discovery model of Grid Computing. The simulation is carried out using GridSim and PlanetSim to evaluate the effectiveness of a semantic resource discovery model. The results show improved success probability for complex jobs and reduce communication overheads compared to the non semantic resource discovery model.

AB - The requirement of semantic technology has been augmented day by day in IT related applications due to various features including interoperability. Effective development and organization of semantic knowledge are essential for maximum throughput in any application. We extend and develop two sub-domain computer resource ontologies and utilize them in a resource discovery process of a Grid computing environment to reduce the job rejection rate. Grid computing aggregates distributed computing resources to execute computationally complex jobs. The selection of resources in a Grid system involves finding and locating resources based on users' requirements. Identifying an appropriate resource selection mechanism for Grid jobs is a major concern because overall performance of a Grid depends on it and it also helps to schedule and allocate resources. We compute semantic similarity threshold values and employ both extended ontolgies in a decentralized resource discovery model of Grid Computing. The simulation is carried out using GridSim and PlanetSim to evaluate the effectiveness of a semantic resource discovery model. The results show improved success probability for complex jobs and reduce communication overheads compared to the non semantic resource discovery model.

KW - Grid Computing

KW - Ontology

KW - Resource Discovery

KW - Semantic

UR - http://www.scopus.com/inward/record.url?scp=84866685767&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84866685767&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-33065-0_22

DO - 10.1007/978-3-642-33065-0_22

M3 - Conference contribution

AN - SCOPUS:84866685767

SN - 9783642330643

VL - 7440 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 206

EP - 216

BT - Algorithms and Architectures for Parallel Processing - 12th International Conference, ICA3PP 2012, Proceedings

ER -