A distributed algorithm for finding global icebergs with linked counting bloom filters

Kui Wu, Yang Xiao, Jie Li, Bo Sun

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

3 Citations (Scopus)

Abstract

Icebergs denote data items whose total frequency of occurrence is greater than a given threshold. When data items are scattered across a large number of network nodes, searching for global icebergs becomes a challenging task especially in bandwidth limited wireless networks. Existing solutions require a central server for ease of algorithm design and/or use random sampling to reduce bandwidth cost. In this paper, we present a new distributed algorithm to search for global icebergs without any centralized control or random sampling. A new type of Bloom filter, called linked counting Bloom filter, is designed to check the membership of a set and to store the accumulative frequency of data items. We evaluate the performance of our distributed algorithm with real data sets. ©2008 IEEE.
Original languageEnglish
Title of host publicationICC 2008 - IEEE International Conference on Communications, Proceedings
Pages2757-2761
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventIEEE International Conference on Communications, ICC 2008 - Beijing, China
Duration: 19 May 200823 May 2008

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Conference

ConferenceIEEE International Conference on Communications, ICC 2008
PlaceChina
CityBeijing
Period19/05/0823/05/08

Bibliographical note

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