FastDHT is a high-performance distributed hash system (DHT) which based key value pairs. It can store mass key value pairs such as filename mapping, session data and user related data. FastDHT uses the Berkeley DB as data storage to support mass data and libevent as network IO to support huge con...

Java Distributed Hash Table with Kademlia algorithm. Sorry the first release is coming soon. Watch this out:http://screencast.com/t/uxHNxRrJJs

SCOPE2 is an Open platform for P2P Social Networking Services. The goal of SCOPE2 is to provide DHT overlay, P2P multicast overlay and P2PSIP including API for easy developing of your own P2P applications and services. One of innovative application is going to be implemented over SCOPE2 is Interacti...

===Scalaris is a distributed key-value store.=== Scalaris is a scalable, transactional, distributed key-value store. It can be used for building scalable Web 2.0 services. Scalaris uses a structured overlay with a non-blocking Paxos commit protocol for transaction processing with strong cons...

This is the homepage of the cosh project. Cosh is a P2P filesharing application based on Mojito DHT. It is designed to enhance the file sharing services in our university (Southeast University, China). As a matter of fact, currently there is no plan to extend it for internet usage, and it's av...

Roger's Thesis project. p2p web client. see http://github.com/rogerdpack/p2pwebclient/tree/master

Distributed hash table (DHT) _based_ on [http://en.wikipedia.org/wiki/Kademlia Kademlia], written in Java.

Distributed hash table (DHT) _based_ on [http://en.wikipedia.org/wiki/Kademlia Kademlia], written in Java.

#summary Index = ROMA = ROMA is one of the data storing systems for distributed key-value stores. It is a completely decentralized distributed system that consists of multiple processes, called nodes, on several machines. It is based on pure P2P architecture like a distributed hash table, th...

Gridool is an infrastructure of parallel job execution on Grid. Gridool assigns jobs on computing clusters. <br/><br/> The key futures of Gridool are listed below: * Map-reduce functionality (Map-reduce on DHT). * An mapped job is extensible using annotations. The extensible futures in user jo...