Set reconciliation based on counting Bloom filters

A new set reconciliation algorithm was presented,which called counting-Bloom-filter based set reconciliation(CBFSR).This method represented sets S<sub>A</sub> and S<sub>B</sub> as counting Bloom filters,subtracts S<sub>A</sub>'s counting Bloom filter from S&l...

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Bibliographic Details
Main Authors: Xiao-mei TIAN, Da-fang ZHANG, Kun XIE, Can HU, Xiao-bo YANG, Chang-qiong SHI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2012-08-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)08-0119-09/
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Summary:A new set reconciliation algorithm was presented,which called counting-Bloom-filter based set reconciliation(CBFSR).This method represented sets S<sub>A</sub> and S<sub>B</sub> as counting Bloom filters,subtracts S<sub>A</sub>'s counting Bloom filter from S<sub>B</sub>'s counting Bloom filter,the differences denoted CBF(S<sub>B</sub>)−CBF(S<sub>A</sub>),then determined S<sub>B</sub>−S<sub>A</sub> elements in S<sub>B</sub> with CBF(S<sub>B</sub>)−CBF(S<sub>A</sub>),and finally performed union operation on S<sub>B</sub>−S<sub>A</sub> and S<sub>A</sub>.Simulation resdts show counting-Bloom-filter based set reconciliation combines the advantages of exact set reconciliation and approximate set reconciliation,besides gaining all S<sub>B</sub>−S<sub>A</sub> elements with single-round messgage exchanges,it can apply to update-intensive distributed systems because counting Bloom filters support element deletion operation.
ISSN:1000-436X