Massachusetts Institute of Technology
Arpeggio : metadata indexing in a structured peer-to-peer network
Abstract
dc:description.abstractPeer-to-peer networks require an efficient means for performing searches for files by metadata keywords. Unfortunately, current methods usually sacrifice either scalability or recall. Arpeggio is a peer-to-peer file-sharing network that uses the Chord lookup primitive as a basis for constructing a distributed keyword-set index, augmented with index-side filtering, to address this problem. We introduce index gateways, a technique for minimizing index maintenance overhead. Arpeggio also includes a content distribution system for finding source peers for a file; we present a novel system that uses Chord subrings to track live source peers without the cost of inserting the data itself into the network, and supports postfetching: using 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. We use analysis and simulation results to show that our indexing system has reasonable storage and bandwidth costs, and improves load distribution.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2007
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Ports, Dan R. K. (Dan Robert Kenneth)
- Advisor dc:contributor.advisor
-
- David R. Karger.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/41663
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/41663