A passive approach to detection of traffic shaping

Paper

Norman, Mark and Leis, John. 2010. "A passive approach to detection of traffic shaping." Rahardja, Susanto and Wah, Benjamin (ed.) APSIPA 2010: 2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. Biopolis, Singapore 14 - 17 Dec 2010 Singapore. https://doi.org/10.0107730776
Paper/Presentation Title

A passive approach to detection of traffic shaping

Presentation TypePaper
AuthorsNorman, Mark (Author) and Leis, John (Author)
EditorsRahardja, Susanto and Wah, Benjamin
Journal or Proceedings TitleProceedings of the 2nd APSIPA Annual Summit and Conference (APSIPA 2010)
Number of Pages4
Year2010
Place of PublicationSingapore
Digital Object Identifier (DOI)https://doi.org/10.0107730776
Web Address (URL) of Paperhttp://apsipa2010.i2r.a-star.edu.sg/v3/index.shtml
Conference/EventAPSIPA 2010: 2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Event Details
APSIPA 2010: 2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Event Date
14 to end of 17 Dec 2010
Event Location
Biopolis, Singapore
Abstract

Internet service providers often alter the profile of data traffic, a practice referred to as 'shaping'. This may be done in order to comply with a service contract,or for the provisioning of services with real-time delivery constraints. This means that the effective throughput to the customer is reduced in some way, either for all traffic, or for one or more individual flows. The presence of traffic shaping may be controversial in some circumstances, particularly when certain classes of traffic are shaped (thus altering the traffic profile). The detection of the existence of traffic shaping on a particular connection or flow is desirable, but technically it is a nontrivial problem. This is especially so if the end-user has limited or no knowledge of the outside network conditions. In this paper, we propose a 'blind' traffic shaping detection algorithm, and investigate its effectiveness. The proposed approach is based on order statistics, with limited per-packet computational complexity. This paper describes our novel approach to the detection of traffic shaping, provides several experimental results in different scenarios, and compares the effectiveness of several metrics. Finally, avenues for further developing the algorithm are suggested.

Keywordsinternet traffic shaping; data traffic; delivery constraints; detection algorithm; effective throughput; end users; network condition; order statistics; service contract; traffic profile
ANZSRC Field of Research 2020400602. Data communications
400604. Network engineering
461399. Theory of computation not elsewhere classified
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Byline AffiliationsDepartment of Electrical, Electronic and Computer Engineering
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