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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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Journal ArticleDOI

Reducing the bandwidth requirements of P2P keyword indexing

TL;DR: This paper describes the design and evaluation of a peer-to-peer indexing system to integrate the resources of local document database systems into a globally addressable index using a distributed hash table.
Journal ArticleDOI

On character-based index schemes for complex wildcard search in peer-to-peer networks

TL;DR: A family of character-based index schemes for wildcard search in peer-to-peer networks that can achieve balanced loads, avoid hot-spots and single points of failure, reduce storage and maintenance costs, and offer ranking mechanisms for matching objects are presented.

Efficient support for range queries in DHT-based systems

TL;DR: An efficient algorithm is described that decomposes a range query with length Rq into O(logRq) sub-queries that are resolved by separate nodes corresponding to each sub-query.
Proceedings ArticleDOI

Conjunction Dysfunction: The Weakness of Conjunctive Queries in Peer-to-Peer File-sharing Systems

TL;DR: Experimental results indicate that significant performance improvements are possible at reasonable cost and relaxing the conjunctive matching criterion and its impact on performance and cost is considered.
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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