Details
| Original language | English |
|---|---|
| Title of host publication | 2011 Proceedings IEEE INFOCOM |
| Pages | 1817-1825 |
| Number of pages | 9 |
| Publication status | Published - Jun 2011 |
| Event | IEEE INFOCOM 2011 - Shanghai, China Duration: 10 Apr 2011 → 15 Apr 2011 |
Publication series
| Name | Proceedings - IEEE INFOCOM |
|---|---|
| ISSN (Print) | 0743-166X |
Abstract
We develop a stochastic foundation for bandwidth estimation of networks with random service, where bandwidth availability is expressed in terms of bounding functions with a defined violation probability. Exploiting properties of a stochastic max-plus algebra and system theory, the task of bandwidth estimation is formulated as inferring an unknown bounding function from measurements of probing traffic. We derive an estimation methodology that is based on iterative constant rate probes. Our solution provides evidence for the utility of packet trains for bandwidth estimation in the presence of variable cross traffic. Taking advantage of statistical methods, we show how our estimation method can be realized in practice, with adaptive train lengths of probe packets, probing rates, and replicated measurements required to achieve both high accuracy and confidence levels. We evaluate our method in a controlled testbed network, where we show the impact of cross traffic variability on the time-scales of service availability, and provide a comparison with existing bandwidth estimation tools.
ASJC Scopus subject areas
- Computer Science(all)
- Engineering(all)
- Electrical and Electronic Engineering
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2011 Proceedings IEEE INFOCOM. 2011. p. 1817-1825 5934981 (Proceedings - IEEE INFOCOM).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - A Foundation for Stochastic Bandwidth Estimation of Networks with Random Service
AU - Lübben, Ralf
AU - Fidler, Markus
AU - Liebeherr, Jörg
PY - 2011/6
Y1 - 2011/6
N2 - We develop a stochastic foundation for bandwidth estimation of networks with random service, where bandwidth availability is expressed in terms of bounding functions with a defined violation probability. Exploiting properties of a stochastic max-plus algebra and system theory, the task of bandwidth estimation is formulated as inferring an unknown bounding function from measurements of probing traffic. We derive an estimation methodology that is based on iterative constant rate probes. Our solution provides evidence for the utility of packet trains for bandwidth estimation in the presence of variable cross traffic. Taking advantage of statistical methods, we show how our estimation method can be realized in practice, with adaptive train lengths of probe packets, probing rates, and replicated measurements required to achieve both high accuracy and confidence levels. We evaluate our method in a controlled testbed network, where we show the impact of cross traffic variability on the time-scales of service availability, and provide a comparison with existing bandwidth estimation tools.
AB - We develop a stochastic foundation for bandwidth estimation of networks with random service, where bandwidth availability is expressed in terms of bounding functions with a defined violation probability. Exploiting properties of a stochastic max-plus algebra and system theory, the task of bandwidth estimation is formulated as inferring an unknown bounding function from measurements of probing traffic. We derive an estimation methodology that is based on iterative constant rate probes. Our solution provides evidence for the utility of packet trains for bandwidth estimation in the presence of variable cross traffic. Taking advantage of statistical methods, we show how our estimation method can be realized in practice, with adaptive train lengths of probe packets, probing rates, and replicated measurements required to achieve both high accuracy and confidence levels. We evaluate our method in a controlled testbed network, where we show the impact of cross traffic variability on the time-scales of service availability, and provide a comparison with existing bandwidth estimation tools.
UR - http://www.scopus.com/inward/record.url?scp=79960874062&partnerID=8YFLogxK
U2 - 10.1109/INFCOM.2011.5934981
DO - 10.1109/INFCOM.2011.5934981
M3 - Conference contribution
AN - SCOPUS:79960874062
SN - 9781424499212
T3 - Proceedings - IEEE INFOCOM
SP - 1817
EP - 1825
BT - 2011 Proceedings IEEE INFOCOM
T2 - IEEE INFOCOM 2011
Y2 - 10 April 2011 through 15 April 2011
ER -