I came across this website from Singapore which had a list of new research P2P projects. Personally I can see tremendous growth and work in the Data mining in specific competence areas

Distributed Genomic Data Management and Mining
The discovery of new proteins necessitates complex analysis in order to determine their functions and classifications. The main technique that scientists use in determining this information has two phases. The first phase involves searching known protein databases for proteins that “match” the unknown protein. The second phase involves analyzing the functions and classifications of the similar proteins in an attempt to infer commonalities with the new protein. While there are several known servers on genomic data (e.g., GenBank, SWISS-PROT and EMBL), there are many more data that are produced each day in the many laboratories all over the world. These scientists create their own local databases of their newly discovered proteins and results, and are willing to share their findings to the world! Clearly, this is an application for P2P distributed data management systems for the same reasons as the heath care application. P2P provides a good infrastructure for data and compute intensive operations such as data mining.

PeerDB: A P2P-based System for Distributed Data Sharing
PeerDB, a peer-to-peer (P2P) distributed data sharing system. PeerDB distinguishes itself from existing P2P systems in several ways. First, it a full-fledge data management system that supports fine-grain content-based searching. Second, it combines the power of mobile agents into P2P systems to perform operations at peers’ sites. Third, PeerDB network is self-configurable, i.e., a node can dynamically optimize the set of peers that it can communicate directly with based on some optimization criterion. By keeping peers that provide most information or services in close proximity (i.e., direct communication), the network bandwidth can be better utilized and system performance can be optimized. Fourth, to the end-user, it provides a keyword-based frontend for searching data without knowing the database schema.

BuddyWeb: A P2P-based Collaborative Web Caching System
BuddyWeb is a P2P-based collaborative web caching system designed for enterprise network. In BuddyWeb, all the local cache of participating nodes are sharable, and nodes within the enterprise network will be searched first before remote external accesses are invoked. BuddyWeb is unique in several way. First, the peer network can dynamically reconfigure itself based on the similarity of its interests. In other words, over time, we expect to see communities of different interests formed. Second, we propose a novel routing strategy, which based on the idea of similarity of peers’ contents. Query will be routed from a peer to its neighbor that has the highest similarity value. Third, BuddyWeb adopts a self-adaptable hopping strategy in which the TTL will self adjust to achieve the objectives of maximizing the positive search results and minimizing the bandwidth usage. Finally, BuddyWeb combines the power of mobile agents into P2P systems to perform operations at peers’ sites. This facilitates content-based searching easily. We are currently integrating BuddyWeb into the Microsoft Internet Explorer, and plan to deploy this in the campus network in Fudan University.

BuddyCQ: A P2P-based System for Continual Queries
Continuous queries are queries that are executed for a potentially long period of time, and are used in the monitoring of data semantics in the underlying data streams, and triggering user-defined actions. In the literature, many focused on efficiently handling the processing of a large number of continuous queries by leveraging. We present a pervasive, continuous query processing system (BuddyCQ) based on Peer-to-Peer technology. In our model, all peers are not equivalent, and each peer has varying degree of resources (i.e. memory, disk storage, computational capabilities). We show how these peers can share continuous queries. In addition, we address the issues of disconnected peers joining the Peer-to-Peer network after a short period of inactivity, and show how the continuous queries that were posed prior are made pervasive and hence allowing the disconnected peers to reap the results instantaneously.