Distributed service discovery using preference

Distributed collaborative applications will be widely used in a future large-scale and dynamic network. Such applications require the capability of locating distributed network objects that better match query originator's criteria. In this paper, a discovery mechanism utilizing query originator's preference is proposed in order to locate objects preferred by query originators. The proposed mechanism allows query originators to return feedbacks that describe the degree of the preference for discovered objects. The preference of query originators is utilized to guide subsequent queries in a distributed manner, enhancing efficiency of discovery. The preference of query originators is also utilized to adaptively change forwarding paths of queries corresponding to varying network environments. Extensive simulation work shows that the proposed mechanism is efficient and adaptive to dynamics of the peer-to-peer network environment where transient objects often join and leave.