Details
Original language | English |
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Title of host publication | Quality for All |
Subtitle of host publication | 4th COST 263 International Workshop on Quality of Future Internet Services, QoFIS 2003 |
Editors | Gunnar Karlsson, Michael I. Smirnov |
Publisher | Springer Verlag |
Pages | 1-10 |
Number of pages | 10 |
ISBN (print) | 3540201920, 9783540201922 |
Publication status | Published - 2003 |
Externally published | Yes |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 2811 |
ISSN (Print) | 0302-9743 |
ISSN (electronic) | 1611-3349 |
Abstract
The Differentiated Services architecture allows for the provision of scalable Quality of Service by means of aggregating flows to a small number of traffic classes. Among these classes a Premium Service is defined, for which end-to-end delay guarantees are of particular interest. However, in aggregate scheduling networks the derivation of such worst case delays is significantly complicated and the derived bounds are weakened by the multiplexing of flows to aggregates. A means to minimize the impacts of interfering flows is to shape incoming traffic, so that bursts are smoothed. Doing so reduces the queuing delay within the core of the domain, whereas an additional shaping delay at the edge is introduced. In this paper we address the issue of traffic shaping analytically. We derive a form that allows to quantify the impacts of shaping and we show simulation results on the derivation of end-to-end delay bounds under different shaping options.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
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Quality for All: 4th COST 263 International Workshop on Quality of Future Internet Services, QoFIS 2003. ed. / Gunnar Karlsson; Michael I. Smirnov. Springer Verlag, 2003. p. 1-10 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2811).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - On the Impacts of Traffic Shaping on End-to-End Delay Bounds in Aggregate Scheduling Networks
AU - Fidler, Markus
PY - 2003
Y1 - 2003
N2 - The Differentiated Services architecture allows for the provision of scalable Quality of Service by means of aggregating flows to a small number of traffic classes. Among these classes a Premium Service is defined, for which end-to-end delay guarantees are of particular interest. However, in aggregate scheduling networks the derivation of such worst case delays is significantly complicated and the derived bounds are weakened by the multiplexing of flows to aggregates. A means to minimize the impacts of interfering flows is to shape incoming traffic, so that bursts are smoothed. Doing so reduces the queuing delay within the core of the domain, whereas an additional shaping delay at the edge is introduced. In this paper we address the issue of traffic shaping analytically. We derive a form that allows to quantify the impacts of shaping and we show simulation results on the derivation of end-to-end delay bounds under different shaping options.
AB - The Differentiated Services architecture allows for the provision of scalable Quality of Service by means of aggregating flows to a small number of traffic classes. Among these classes a Premium Service is defined, for which end-to-end delay guarantees are of particular interest. However, in aggregate scheduling networks the derivation of such worst case delays is significantly complicated and the derived bounds are weakened by the multiplexing of flows to aggregates. A means to minimize the impacts of interfering flows is to shape incoming traffic, so that bursts are smoothed. Doing so reduces the queuing delay within the core of the domain, whereas an additional shaping delay at the edge is introduced. In this paper we address the issue of traffic shaping analytically. We derive a form that allows to quantify the impacts of shaping and we show simulation results on the derivation of end-to-end delay bounds under different shaping options.
UR - http://www.scopus.com/inward/record.url?scp=0842305535&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-45188-4_1
DO - 10.1007/978-3-540-45188-4_1
M3 - Contribution to book/anthology
AN - SCOPUS:0842305535
SN - 3540201920
SN - 9783540201922
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1
EP - 10
BT - Quality for All
A2 - Karlsson, Gunnar
A2 - Smirnov, Michael I.
PB - Springer Verlag
ER -