Presentation 2009-05-22
A Study on Practical Flow-based Sampling Method for Observing Flow Statistics
Takayuki GOTO, Teruyuki HASEGAWA, Shigehiro ANO,
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Abstract(in English) Recently, as the amount of traffic through network grows, the necessity of sampling has been increasing for analyzing the traffic data rapidly. The sampling is classified into packet-based sampling and flow-based sampling. The former has an advantage that it is easy to be implemented and be used widely, but has a disadvantage that the obtained precision of flow statistics is bad. The latter has an advantage that it is superior to packet-based sampling for measuring the flow statistics. However, it has a disadvantage that there are no devices in which the flow-based sampling is implemented because it requires per-packet classification. In this paper, we propose the method which utilizes the wildcard mask of the access list in order to realize the flow-based sampling. Compared with a flow-based sampling by hashing, in case of that flows were not sampled so much, we confirmed that our proposed method was effective for actual network operation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Flow-based sampling / Passive measurement
Paper # NS2009-30
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Committee NS
Conference Date 2009/5/14(1days)
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Registration To Network Systems(NS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Practical Flow-based Sampling Method for Observing Flow Statistics
Sub Title (in English)
Keyword(1) Flow-based sampling
Keyword(2) Passive measurement
1st Author's Name Takayuki GOTO
1st Author's Affiliation KDDI R & D Labs.()
2nd Author's Name Teruyuki HASEGAWA
2nd Author's Affiliation KDDI R & D Labs.
3rd Author's Name Shigehiro ANO
3rd Author's Affiliation KDDI R & D Labs.
Date 2009-05-22
Paper # NS2009-30
Volume (vol) vol.109
Number (no) 36
Page pp.pp.-
#Pages 6
Date of Issue