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We address wildcard search in structured peer-to-peer (P2P) networks, which, to our knowledge, has not yet been explored in the literature. We begin by presenting an approach based on some well-known techniques in information retrieval (IR), and discuss why it is not appropriate in a distributed environment. We then present a simple and novel technique to index objects for wildcard search in a fully decentralized manner, along with some search strategies to retrieve objects. Our index scheme, as opposed to a traditional IR approach, can achieve quite balanced loads, avoid hop-spots and single point of failure, reduce storage and maintenance costs, and offer some ranking mechanisms for matching objects. We use the CD records collected in FreeDB ( as experimental dataset to evaluate our scheme. The results confirm that our index scheme is very effective in balancing the load. Moreover, search efficiency depends on the information given in a query: the more the information, the higher the performance.
Information Storage and Retrieval, Distributed applications

Y. Joung and L. Yang, "Wildcard Search in Structured Peer-to-Peer Networks," in IEEE Transactions on Knowledge & Data Engineering, vol. 19, no. , pp. 1524-1540, 2007.
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