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Tuning the Temporal Characteristics of a Kalman-Filter Method for End-to-End Bandwidth Estimation
Linköping University, The Institute of Technology. Linköping University, Department of Science and Technology, Communications and Transport Systems. Ericsson Research, Stockholm, Sweden.
Ericsson Research, Stockholm, Sweden, Mälardalen University, Västerås, Sweden .
2006 (English)In: 4th IEEE/IFIP Workshop on End-to-End Monitoring Techniques and Services, 2006, Piscataway, New Jersey, USA: IEEE Press, 2006, 58-65 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we present a way of tuning the temporal characteristics of a new available-bandwidth estimation method, BART. The estimation engine in this method is Kalman-filter based. A current estimate of the available bandwidth is maintained, and for each new sequence of probe packet pairs an updated estimate is produced. The main input parameters needed by the Kalman filter are the variance of the measurement noise and the covariance of the process noise. The former is measured by the method, whereas the latter is not in general attainable by analytical or empirical investigation. Instead, it is reasonable to treat this as a tunable parameter. We discuss how the temporal characteristics of the tracking of end-to-end available bandwidth may be tuned.

Place, publisher, year, edition, pages
Piscataway, New Jersey, USA: IEEE Press, 2006. 58-65 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-36402DOI: 10.1109/E2EMON.2006.1651280ISI: 000238288300008Local ID: 31250ISBN: 1-4244-0145-3 (print)OAI: oai:DiVA.org:liu-36402DiVA: diva2:257250
Conference
4th IEEE/IFIP Workshop on End-to-End Monitoring Techniques and Services, Vancouver, Canada, April 3rd 2006
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2016-06-16
In thesis
1. Filter-based bandwidth estimation for communication networks
Open this publication in new window or tab >>Filter-based bandwidth estimation for communication networks
2006 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In recent years, there has been a rapid growth of interest in bandwidth estimation of communication networks. In the context of packet-switched data networks, such as the Internet, the term bandwidth commonly refers to the amount of information a network can deliver per time unit. Knowledge of bandwidth characteristics is of great significance in, e.g., end-to-end admission control, capacity planning, intelligent routing, audio/video streaming, and peer-to-peer applications.

For network end users, it is difficult to obtain bandwidth properties of a particular network link or path. Normally, it is only achievable by actively probing the network, and to perform estimation based on received measurements. Probing implies transmission of specific data packets, which are expected to be affected by the characteristics of the utilized network path.

In this thesis, the BART (Bandwidth Available in Real-Time) method for real-time estimation of end-to-end available bandwidth is presented and evaluated. The available bandwidth of a network path corresponds to the minimum unused bandwidth capacity among all links between two end hosts. Besides applying active probing, BART uses Kalman filtering for the analysis of received probe packets.

BART is investigated both analytically and experimentally. The experiments are carried out in a laboratory network and over the Internet. The opportunity of tuning the Kalman filter with respect to desired tracking ability is studied in more detail, as well as the virtue of enhancing performance by introducing change detection. In general, the results show accurate estimation under various circumstances, even though the method only requires modest computational efforts and minor injections of probe packets.

Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University Electronic Press, 2006. 10 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1288
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-36409 (URN)31272 (Local ID)91-8564-312-2 (ISBN)31272 (Archive number)31272 (OAI)
Presentation
2006-12-15, Sal TP1, Campus Norrköping, Linköpings universitet, Norrköping, 10:15 (Swedish)
Opponent
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2016-06-16

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Hartikainen, Erik

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Citation style
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Output format
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