Traffic measurement algorithm based on least recent used and Bloom filter

Aiming at the naïve algorithm’s deficiency of high false negative probability,a novel scheme called LRU-BF(least recent used &Bloom filter) was presented.In order to achieve high accuracy,the algorithm adopted mechanisms of LRU eliminating and Bloom filter representation to separate the process...

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Main Authors: Zhen ZHANG, Bin-qiang WANG, Feng-yu ZHANG, Ning-ning LIANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0111-10/
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author Zhen ZHANG
Bin-qiang WANG
Feng-yu ZHANG
Ning-ning LIANG
author_facet Zhen ZHANG
Bin-qiang WANG
Feng-yu ZHANG
Ning-ning LIANG
author_sort Zhen ZHANG
collection DOAJ
description Aiming at the naïve algorithm’s deficiency of high false negative probability,a novel scheme called LRU-BF(least recent used &Bloom filter) was presented.In order to achieve high accuracy,the algorithm adopted mechanisms of LRU eliminating and Bloom filter representation to separate the process of heavy-hitter fliteration from the heavy-hitter recognition.Based on statistical theory,analytical expressions about upper-bound error probability were deduced.Simulated results indicate that LRU-BF can achieve space saving and lower error probabilit compared with Naïve-LRU algorithm.Meanwhile,it can also support the 10Gbit/s line-speed processing.
format Article
id doaj-art-f40ee7214eed4d95b566674ff9be1961
institution Kabale University
issn 1000-436X
language zho
publishDate 2013-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-f40ee7214eed4d95b566674ff9be19612025-01-14T06:34:10ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-01-013411112059668371Traffic measurement algorithm based on least recent used and Bloom filterZhen ZHANGBin-qiang WANGFeng-yu ZHANGNing-ning LIANGAiming at the naïve algorithm’s deficiency of high false negative probability,a novel scheme called LRU-BF(least recent used &Bloom filter) was presented.In order to achieve high accuracy,the algorithm adopted mechanisms of LRU eliminating and Bloom filter representation to separate the process of heavy-hitter fliteration from the heavy-hitter recognition.Based on statistical theory,analytical expressions about upper-bound error probability were deduced.Simulated results indicate that LRU-BF can achieve space saving and lower error probabilit compared with Naïve-LRU algorithm.Meanwhile,it can also support the 10Gbit/s line-speed processing.http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0111-10/network securityLRUBloom filtertraffic measurement
spellingShingle Zhen ZHANG
Bin-qiang WANG
Feng-yu ZHANG
Ning-ning LIANG
Traffic measurement algorithm based on least recent used and Bloom filter
Tongxin xuebao
network security
LRU
Bloom filter
traffic measurement
title Traffic measurement algorithm based on least recent used and Bloom filter
title_full Traffic measurement algorithm based on least recent used and Bloom filter
title_fullStr Traffic measurement algorithm based on least recent used and Bloom filter
title_full_unstemmed Traffic measurement algorithm based on least recent used and Bloom filter
title_short Traffic measurement algorithm based on least recent used and Bloom filter
title_sort traffic measurement algorithm based on least recent used and bloom filter
topic network security
LRU
Bloom filter
traffic measurement
url http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0111-10/
work_keys_str_mv AT zhenzhang trafficmeasurementalgorithmbasedonleastrecentusedandbloomfilter
AT binqiangwang trafficmeasurementalgorithmbasedonleastrecentusedandbloomfilter
AT fengyuzhang trafficmeasurementalgorithmbasedonleastrecentusedandbloomfilter
AT ningningliang trafficmeasurementalgorithmbasedonleastrecentusedandbloomfilter