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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2012 Vol.2(6): 730-733 ISSN: 2010-3697
DOI: 10.7763/IJMO.2012.V2.221

Performance Based Hypercube Interconnection Structure for Better Grid Resource Discovery

M. Shanthi and Anthony Irudhayaraj

Abstract—This paper focuses on the benefits derived from an extensive use of an interconnection structure for resource discovery and develop an algorithm which will help the user to discover the available resources among nodes in an efficient manner. The main objective of this research is to enable users to find out the available resources at the earliest to solve the problems. Most current implementations of grids have a centralized or hierarchical architecture with little attention to fault tolerance and scalability. Processing (resource discovery) must achieve performance in an environment which is heterogeneous, dynamic and shared by other users with competing resource demands. The proposed algorithm overcome the challenges like single point of failure, number of hops and network diameter.

Index Terms—Fault tolerenat hybecube, grid, processing resource discovery, scalable.

M. Shanthi is with the Velammal Engineering College, Chennai-66: (sha_karnan@gmail.com).
Anthony Irudhayaraj is with AVIT, Chennai, India.

[PDF]

Cite: M. Shanthi and Anthony Irudhayaraj, "Performance Based Hypercube Interconnection Structure for Better Grid Resource Discovery," International Journal of Modeling and Optimization vol. 2, no. 6, pp. 730-733, 2012.

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