Arpeggio: metadata searching and content sharing with chord

  • Authors:
  • Austin T. Clements;Dan R. K. Ports;David R. Karger

  • Affiliations:
  • MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA

  • Venue:
  • IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
  • Year:
  • 2005

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Abstract

Arpeggio is a peer-to-peer file-sharing network based on the Chord lookup primitive. Queries for data whose metadata matches a certain criterion are performed efficiently by using a distributed keyword-set index, augmented with index-side filtering. We introduce index gateways, a technique for minimizing index maintenance overhead. Because file data is large, Arpeggio employs subrings to track live source peers without the cost of inserting the data itself into the network. Finally, we introduce postfetching, a technique that uses information in the index to improve the availability of rare files. The result is a system that provides efficient query operations with the scalability and reliability advantages of full decentralization, and a content distribution system tuned to the requirements and capabilities of a peer-to-peer network.