NDLI: Resource Discovery Algorithm Based on Small-World Cluster in Hierarchical Grid Computing Environment

Content Provider	IEEE Xplore Digital Library
Author	Yan Ma Bin Gong Lida Zou
Copyright Year	2008
Description	Author affiliation: Sch. of Inf. Sci. & Eng., Shandong Normal Univ., Jinan (Lida Zou) \|\| Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan (Yan Ma; Bin Gong)
Abstract	Grid is an environment of seamless and integrated sharing and collaboration. The heterogeneous, dynamic, various and autonomous characteristics of resources make grid resource discovery a challenging issue. Hierarchical grid computing environment (hierarchical grid for short) with many advantages is far and wide used. This paper introduces small-world cluster into hierarchical grid in which intra-cluster adopts centralized management and cluster center nodes form small-world network. The architecture strikes a balance between high efficiency of total centralized management and good scalability of absolute distributed disposal. In the process of constructing small-world network, a new construction method on the basis of NW (Newman-Watts) model is presented, that is, short range contacts and long range contacts are represented by routing tables in a logic and dynamic way not by Manhattan distance. SWRD (Small-World Resource Discovery) algorithm pertinent to user classification and data retrieval way is proposed. Results from simulation experiments demonstrate SWRD algorithm greatly prunes search space and improves query efficiency.
Starting Page	110
Ending Page	116
File Size	307448
Page Count	7
File Format	PDF
ISBN	9780769534497
DOI	10.1109/GCC.2008.83
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Waste management Scalability Clustering algorithms Collaboration Computer architecture Grid computing Routing Information retrieval Computer network management Logic
Content Type	Text
Resource Type	Article

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