Median filtering simulation of bursty traffic

Paper

Chan, Auc Fai and Leis, John. 2010. "Median filtering simulation of bursty traffic." Wysocki, T. and Wysocki, B. (ed.) 2010 4th International Conference on Signal Processing and Communication Systems (ICSPCS 2010). Gold Coast, Australia 13 - 15 Dec 2010 New York, United States. https://doi.org/10.1109/ICSPCS.2010.5709668
Paper/Presentation Title

Median filtering simulation of bursty traffic

Presentation TypePaper
AuthorsChan, Auc Fai (Author) and Leis, John (Author)
EditorsWysocki, T. and Wysocki, B.
Journal or Proceedings TitleProceedings of the 4th International Conference on Signal Processing and Communication Systems (ICSPCS 2010)
Number of Pages5
Year2010
Place of PublicationNew York, United States
ISBN9781424479061
Digital Object Identifier (DOI)https://doi.org/10.1109/ICSPCS.2010.5709668
Conference/Event2010 4th International Conference on Signal Processing and Communication Systems (ICSPCS 2010)
Event Details
2010 4th International Conference on Signal Processing and Communication Systems (ICSPCS 2010)
Parent
International Conference on Signal Processing and Communication Systems
Delivery
In person
Event Date
13 to end of 15 Dec 2010
Event Location
Gold Coast, Australia
Abstract

The estimation of Retransmission Timeout (RTO) in
Transmission Control Protocol (TCP) affects the throughput of the transmission link. If the RTO is just a little larger than the Round Trip Time (RTT), retransmissions will occur too often, and this increases congestion in the transmission link [1]. If the RTO is much larger than the RTT, the response to retransmit when a packet is lost will be too slow, and this will decrease the throughput in the transmission link. Currently, Jacobson’s
Algorithm [2] for estimation of RTO is implemented in TCP. He uses an Exponential Weighted Moving Average (EWMA) filter
to estimate RTT and then determines RTO. The EWMA filter
is good if RTT follows a Gaussian distribution. In reality, traffic on the Internet is bursty and follows a heavy-tailed distribution. Median filter has been recognized as a useful ?lter due to its edge preserving characteristic for image processing applications, and it performs well for heavy-tailed distributions. Thus the median filter is efficient for removing impulsive noise [3], [4]. In this paper, we demonstrate the applicability of the median filter in our simulations for timeout estimation in the presence of bursty traffic flows.

Keywordstcp/ip; retransmission median filter; congestion; Pareto; exponential
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020460609. Networking and communications
400607. Signal processing
460207. Modelling and simulation
Public Notes

© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Byline AffiliationsDepartment of Electrical, Electronic and Computer Engineering
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