A self-adaptive resource index and discovery system in distributed computing environments
by Wu-Chun Chung; Yi-Hsiang Lin; Kuan-Chou Lai; Kuan-Ching Li; Yeh-Ching Chung
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 10, No. 2, 2012

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.

Online publication date: Mon, 30-Jul-2012

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