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Open AccessProceedings ArticleDOI

Efficient peer-to-peer keyword searching

TLDR
A distributed search engine based on a distributed hash table is designed and analyzed and the simulation results predict that the search engine can answer an average query in under one second, using under one kilobyte of bandwidth.
Abstract
The recent file storage applications built on top of peer-to-peer distributed hash tables lack search capabilities. We believe that search is an important part of any document publication system. To that end, we have designed and analyzed a distributed search engine based on a distributed hash table. Our simulation results predict that our search engine can answer an average query in under one second, using under one kilobyte of bandwidth.

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Citations
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Book ChapterDOI

Usage-aware search in peer-to-peer systems

TL;DR: Simulation results show that the new methods reduce network traffic while they maintain the good search time of flood broadcasting methods, with efficient means provided by Active Networks.
Book ChapterDOI

The MINERVA project: towards collaborative search in digital libraries using peer-to-peer technology

TL;DR: In this article, the authors consider the problem of collaborative search across a large number of digital libraries and query routing strategies in a peer-to-peer (P2P) environment.
Journal ArticleDOI

Towards bandwidth-efficient keyword continuous query processing over DHTs

TL;DR: Treating bandwidth as a first-class resource, novel query indexing algorithms including MHI and SAP-MHI, multicast-based document announcement, and adaptive query resolution to reduce bandwidth cost are proposed.

Distributed Suffix Tree for Peer-to-Peer Search

Hai Zhuge, +1 more
TL;DR: This paper proposes the DST (Distributed Suffix Tree) overlay as the intermediate layer between the DHT overlay and the semantic overlay, which supports search of keyword sequences and is independent of the variation of the underlying DHT overlays.
Proceedings ArticleDOI

Summary prefix tree: An over DHT indexing data structure for efficient superset search

TL;DR: An algorithm that exploits SPT to efficiently find descriptions that are supersets of query keywords to offer good performances is proposed.
References
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Journal ArticleDOI

The anatomy of a large-scale hypertextual Web search engine

TL;DR: This paper provides an in-depth description of Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and looks at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.
Proceedings Article

The PageRank Citation Ranking : Bringing Order to the Web

TL;DR: This paper describes PageRank, a mathod for rating Web pages objectively and mechanically, effectively measuring the human interest and attention devoted to them, and shows how to efficiently compute PageRank for large numbers of pages.
Journal Article

The Anatomy of a Large-Scale Hypertextual Web Search Engine.

Sergey Brin, +1 more
- 01 Jan 1998 - 
TL;DR: Google as discussed by the authors is a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems.
Proceedings ArticleDOI

Chord: A scalable peer-to-peer lookup service for internet applications

TL;DR: Results from theoretical analysis, simulations, and experiments show that Chord is scalable, with communication cost and the state maintained by each node scaling logarithmically with the number of Chord nodes.
Journal ArticleDOI

Space/time trade-offs in hash coding with allowable errors

TL;DR: Analysis of the paradigm problem demonstrates that allowing a small number of test messages to be falsely identified as members of the given set will permit a much smaller hash area to be used without increasing reject time.
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