DocumentCode
2309406
Title
Applications of Bloom Filters in Peer-to-peer Systems: Issues and Questions
Author
Cai, Hailong ; Ge, Ping ; Wang, Jun
Author_Institution
Google Inc., Mountain View, CA
fYear
2008
fDate
12-14 June 2008
Firstpage
97
Lastpage
103
Abstract
Bloom filter is a widely-used data structure that concisely represents a large set of contents for approximate membership queries. Due to its good space efficiency, Bloom filter has been applied or customized in a variety of P2P system designs. Although the basic idea of Bloom filter is explained each time it is used, elaborative details are ignored. However, we argue that it is no.t always a trivial task to make a good decision on specific design aspects when applying Bloom filters in P2P systems. If not well deployed, the overhead and side effects of Bloom filters may outweigh their benefits. In this paper we study Bloom filter in the context of P2P systems, and explore its design space on several important issues. Our goal is to provide an in-depth understanding on Bloom filter´s strength and weakness, and gain an insight into its usagein P2P systems. In addition, we raise some open questions that deserve further discussion among theP2P community.
Keywords
approximation theory; data structures; peer-to-peer computing; query processing; Bloom filters; data structure; membership queries approximation; peer-to-peer systems; Bandwidth; Costs; Data structures; Databases; Filtering; Filters; Peer to peer computing; Resource management; Space exploration; System performance; Bloom filter; P2P system;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Architecture, and Storage, 2008. NAS '08. International Conference on
Conference_Location
Chongqing
Print_ISBN
978-0-7695-3187-8
Type
conf
DOI
10.1109/NAS.2008.52
Filename
4579566
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