摘要：In the past few years, Peer-to-Peer (P2P) applications have emerged as a popular way of
autonomously sharing data and services in distributed environments. In such environments, peers dynamically
join/leave a network and do not usually have any global knowledge about the data sources.
This phenomenon demands an efficient query execution strategy in terms of data transmission and response
time. In this paper, we propose a distributed query processing technique in P2P environments
where each peer possesses partial knowledge of the domain information and collaborates with the participating
peers to share data. The cornerstone of our approach is to dynamically determine the best query
execution plan in order to execute the different parts of the user query, and propagate the results with
minimized data transmission and response time.
关键词：Peer-to-peer, Information retrieval, Query processing.
