Distributed and Adaptive Discovery Using Preference

Authors:
Ryota Egashira;Akihiro Enomoto;Tatsuya Suda
Affiliations:
-;-;-
Venue:
SAINT-W '04 Proceedings of the 2004 Symposium on Applications and the Internet-Workshops (SAINT 2004 Workshops)
Year:
2004

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Abstract

Distributed applications produce the need of locating distributed network objects (i.e., data, application or users) that meet a certain search criteria in a large-scale and dynamic network. In this paper, we propose a discovery mechanism that is fully distributed (without any centralized entity) and adaptive to dynamic network environments. The proposed discovery mechanism allows query originators to return feedbacks that describe the degree of the preference for discovery results. The preference of query originators is utilized to guidesubsequent queries in a distributed manner, enhancing efficiency of discovery and improving the quality of discovery results. Furthermore an effective use of the preference of query originators enables the proposed mechanism to adapt to dynamic environment changes. We investigate the efficiency and adaptability of the proposed discovery mechanisms through simulations.