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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2013-01-01
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Series: | Tongxin xuebao |
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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 |