provide a distributed hash table (DHash) for block storage. CFS clients interpret DHash blocks as a file system. DHash distributes and caches blocks at a fine granularity to achieve load balance, uses replication for robustness, and decreases latency with server selection. DHash finds blocks using

consists solely of a set of logs, one log per participant. Ivy stores its logs in the DHash distributed hash table. Each participant finds data by consulting all logs, but performs modifications by appending only to its own log. This arrangement allows Ivy to maintain meta-data consistency without locking

This thesis presents a new design and implementation of the DHash distributed hash table based on erasure encoding. This design is both more robust and more efficient than the previous replication-based implementation [15]. DHash uses

DHash is a new system that harnesses the storage and network resources of computers distributed across the Internet by providing a wide-area storage service, DHash. DHash frees applications from re-implementing mechanisms common to any system that stores data on a collection of machines

. In comparison, Total Recall and DHash require almost a factor of two more network traffic than this hypothetical system. 1

such alternative using DHash, a peer-to-peer distributed hash table built on top of Chord. Our system inherits Chord's fault-tolerance and load balance properties, at the same time eliminating many administrative problems with the current DNS. Still, our system has significantly higher latencies and other

provide a distributed hash table (DHash) for block storage. CFS clients interpret DHash blocks as a file system. DHash distributes and caches blocks at a fine granularity to achieve load balance, uses replication for robustness, and decreases latency with server selection. DHash finds blocks using

a directory hierarchy. Melody is built on Chord, a distributed lookup algorithm, and DHash, a distributed hash table. We evaluate the performance consequences and usability of Melody. In addition, this thesis presents two support applications: Autocat, to support automatic categorization, and Paynet

messages it generates, and thus optimizing replica retrieval. DHash distributes and caches blocks at a fine granularity to achieve load balance, uses replication for robustness, and decreases latency with server selection. We are implementing this file system over peer to peer look up service. A

are identified in terms of communication costs and latency. Index Terms — peer to peer, reliable storage, distributed hash table, dhash, chord I.