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Flexible information discovery in decentralized distributed systems

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2 Author(s)
Schmidt, C. ; Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA ; Parashar, M.

The ability to efficiently discover information using partial knowledge (for example keywords, attributes or ranges) is important in large, decentralized, resource sharing distributed environments such as computational grids and peer-to-peer (P2P) storage and retrieval systems. This paper presents a P2P information discovery system that supports flexible queries using partial keywords and wildcards, and range queries. It guarantees that all existing data elements that match a query are found with bounded costs in terms of number of messages and number of peers involved. The key innovation is a dimension reducing indexing scheme that effectively maps the multidimensional information space to physical peers. The design, implementation and experimental evaluation of the system are presented.

Published in:

High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on

Date of Conference:

22-24 June 2003

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