NDLI: Locality-Preserving Clustering and Discovery of Wide-Area Grid Resources

Content Provider	IEEE Xplore Digital Library
Author	Haiying Shen Kai Hwang
Copyright Year	2009
Abstract	In large-scale computational or P2P Grids, discovery of heterogeneous resources as a working group is crucial to achieving scalable performance. This paper presents a hierarchical cycloid overlay (HCO) architecture with resource clustering and discovery algorithms for efficient and robust resource discovery in wide-area distributed Grid systems. We establish program/data locality by clustering resources based on their physical proximity and functional matching with user applications. We further develop randomized probing and cluster-token forwarding algorithms. The novelty of the HCO scheme lies in low overhead, fast speed and dynamism resilience in multi-resource discovery. The paper presents the HCO framework, new performance metrics, and simulation experimental results. This HCO scheme compares favorably with other resource management methods in static and dynamic Grid applications. In particular, it supports efficient resource clustering, reduces communications cost, and enhances resource discovery success rate in promoting large-scale distributed supercomputing applications.
Starting Page	518
Ending Page	525
File Size	217035
Page Count	8
File Format	PDF
ISBN	9780769536590
ISSN	10636927
DOI	10.1109/ICDCS.2009.38
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-22
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Grid computing Resource management Distributed computing Large-scale systems Computer science Clustering algorithms Application software Scalability Topology Computer architecture
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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