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

作者：Chung Wu Chun; Lin Yi Hsiang; Lai Kuan Chou; Li Kuan Ching; Chung Yeh Ching^*

来源：International Journal of Ad Hoc and Ubiquitous Computing, 2012, 10(2): 74-83.

DOI：10.1504/IJAHUC.2012.048259

• distributed computing
• resource discovery
• multi-attribute query
• range query
• load balancing

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.

• 出版日期2012
• 单位清华大学