A self-adaptive resource index and discovery system in distributed computing environments

Authors:
Wu-Chun Chung;Yi-Hsiang Lin;Kuan-Chou Lai;Kuan-Ching Li;Yeh-Ching Chung
Affiliations:
Department of Computer Science, National Tsing Hua University, Hsinchu 300, Taiwan;Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu 300, Taiwan;Department of Computer and Information Science, National Taichung University, Taichung 403, Taiwan;Department of Computer Science and Information Engineering, Providence University, Taichung 433, Taiwan;Department of Computer Science, National Tsing Hua University, Hsinchu 300, Taiwan
Venue:
International Journal of Ad Hoc and Ubiquitous Computing
Year:
2012

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Abstract

Resource-sharing systems apply the Peer-to-Peer (P2P) technique to provide scalable multi-attribute range queries. However, due to the heterogeneity of resources and the variation of sharing policies from different providers, current P2P-based resource discovery systems may suffer the load imbalance problem in large-scale distributed systems. In this paper, a self-adaptive resource index and discovery system, NAMED SARIDS, is proposed to achieve load balancing in distributed computing environments, by adopting a two-tier architecture based on structured P2P overlay. Experimental results show that SARIDS is scalable yet efficient for load balancing even in non-uniform peer range environments.