A sub-domain semantic and proximity-based decentralized resource discovery for Grid Computing

Abdul Khalique Shaikh, Saadat M. Alhashmi, Rajendran Parthiban

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

    Abstract

    The selection and allocation of optimal resources for Grid user jobs is an open issue the main reason for this is due to Grid resources are geographically distributed across the world through a wide area network under various virtual organizations. To address the issue, a significant amount of effort has been made by proposing various decentralized overlay algorithms with semantic solutions. Current Grid literature reveals that when semantic features are added into discovery services, the probability of finding resources is enhanced. However, most of the existing decentralized resource discovery models utilize a domain-based semantic ontology with First Come First Serve (FCFS) basis scheduling for allocating of Grid resources that can cause job-rejection at run time. To overcome these issues and enhance the application performance, we propose an UPSARS (Unification of Proximity and Semantic similarity for Appropriate Resource Selection) algorithm in a decentralized resource discovery model by using a sub-domain ontology structure for Grid computing environments the purpose of this unification is to get optimized resources for user jobs so that Grid brokers could select optimum resources in terms of proximity with high semantic relevancy the proposed algorithm considers both semantic and proximity criteria and selects the nearby nodes resources. We design and implement the model using the GridSim and the FreePastry simulation &modeling toolkits the experimental results provide promising outcomes to enhance resource allocation performance.

    Original languageEnglish
    Title of host publicationProceedings of the 24th International Business Information Management Association Conference - Crafting Global Competitive Economies
    Subtitle of host publication2020 Vision Strategic Planning and Smart Implementation
    EditorsKhalid S. Soliman
    PublisherInternational Business Information Management Association (IBIMA)
    Pages1400-1412
    Number of pages13
    ISBN (Electronic)9780986041938
    Publication statusPublished - 2014
    EventInternational Business Information Management 2014 - Milan, Italy
    Duration: 6 Nov 20147 Nov 2014
    Conference number: 24th
    http://ibima.org/conference/24th-ibima-conference/

    Conference

    ConferenceInternational Business Information Management 2014
    Abbreviated titleIBIMA 2014
    CountryItaly
    CityMilan
    Period6/11/147/11/14
    OtherIBIMA held two conferences with the same name in 2014
    Internet address

    Keywords

    • Decentralized Resource Discovery
    • FreePastry
    • Grid Computing
    • GridSim
    • Proximity
    • Semantic

    Cite this