Abstract
This paper analyses the weighted fair queueing (WFQ) system subject to three classes of network applications. The arrival traffic flows follow Poisson processes. The service times is exponentially distributed. The system is modelled as a two-dimensional Markov chain and use matrix geometric technique to solve its stationary probabilities. The determination of the steady state probabilities can be used to compute the performance measures of the system, such as the mean queue length, the throughput and the mean response time. Numerical experiments corroborate the theoretical results are offered and make the developed model as an effective tool for examining the performance of WFQ systems.
| Original language | English |
|---|---|
| Title of host publication | 24th IEEE International Conference on Advanced Information Networking and Applications, AINA 2010 |
| Pages | 50-57 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 24th IEEE International Conference on Advanced Information Networking and Applications, AINA2010 - Perth, WA, Australia Duration: Apr 20 2010 → Apr 23 2010 |
Other
| Other | 24th IEEE International Conference on Advanced Information Networking and Applications, AINA2010 |
|---|---|
| Country | Australia |
| City | Perth, WA |
| Period | 4/20/10 → 4/23/10 |
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Keywords
- First inter first out (FIFO)
- Markov chain
- Shared buffer model,M +M+M/M̄/1/N
- Weighted fair queuing (WFQ)
ASJC Scopus subject areas
- Engineering(all)
Cite this
Performance of weighted fair queuing system with multi-class jobs. / Al-Sawaai, Amina; Awan, Irfan; Fretwell, Rod.
24th IEEE International Conference on Advanced Information Networking and Applications, AINA 2010. 2010. p. 50-57 5474673.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Performance of weighted fair queuing system with multi-class jobs
AU - Al-Sawaai, Amina
AU - Awan, Irfan
AU - Fretwell, Rod
PY - 2010
Y1 - 2010
N2 - This paper analyses the weighted fair queueing (WFQ) system subject to three classes of network applications. The arrival traffic flows follow Poisson processes. The service times is exponentially distributed. The system is modelled as a two-dimensional Markov chain and use matrix geometric technique to solve its stationary probabilities. The determination of the steady state probabilities can be used to compute the performance measures of the system, such as the mean queue length, the throughput and the mean response time. Numerical experiments corroborate the theoretical results are offered and make the developed model as an effective tool for examining the performance of WFQ systems.
AB - This paper analyses the weighted fair queueing (WFQ) system subject to three classes of network applications. The arrival traffic flows follow Poisson processes. The service times is exponentially distributed. The system is modelled as a two-dimensional Markov chain and use matrix geometric technique to solve its stationary probabilities. The determination of the steady state probabilities can be used to compute the performance measures of the system, such as the mean queue length, the throughput and the mean response time. Numerical experiments corroborate the theoretical results are offered and make the developed model as an effective tool for examining the performance of WFQ systems.
KW - First inter first out (FIFO)
KW - Markov chain
KW - Shared buffer model,M +M+M/M̄/1/N
KW - Weighted fair queuing (WFQ)
UR - http://www.scopus.com/inward/record.url?scp=77954341831&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954341831&partnerID=8YFLogxK
U2 - 10.1109/AINA.2010.25
DO - 10.1109/AINA.2010.25
M3 - Conference contribution
AN - SCOPUS:77954341831
SN - 9780769540184
SP - 50
EP - 57
BT - 24th IEEE International Conference on Advanced Information Networking and Applications, AINA 2010
ER -