Waiting Time Quantiles for the Gaussian Voice Traffic Model
| Document type: | Miscellaneous |
|---|---|
| Author(s): | Markus Fiedler, Gerhard Hasslinger |
| Title: | Waiting Time Quantiles for the Gaussian Voice Traffic Model |
| Translated title: | Väntetidskvantiler för Gauss-rösttrafiksmodellen |
| Type of publication: | COST 279 Technical Document 279TD(02)013 |
| Year: | 2002 |
| Organization: | Blekinge Institute of Technology |
| Department: | Department of Telecommunications and Signal Processing (Institutionen för telekommunikation och signalbehandling) Department of Telecommunications and Signal Processing S-372 25 Ronneby +46 455 38 50 00 |
| Authors e-mail: | markus.fiedler@bth.se |
| Language: | English |
| Abstract: | Traffic models with a rate varying according to a Gaussian distribution are commonly used to evaluate statistical multiplexing in telecommunication systems. The superposition of a large number of homogeneous Markovian On-Off sources asymptotically approaches an Ornstein-Uhlenbeck process (OUP) which represents a Gaussian process with exponential autocorrelation function. The workload analysis for a multiplexer with OUP input leads to a simple and clearly structured dependence of waiting time quantiles on system and quality of service parameters. Semi-Markovian fitting procedures as well as the fluid flow method provide independent analysis ap-proaches at an assured accuracy level. The comparison of the corresponding waiting time quantiles shows the suitability of assuming traffic to be Gaussian already for a moderate number of traffic sources. |
| Summary in Swedish: | Pappret presenterar och dikuterar en enkel approximationsformel som kan användas bl a för att dimensionera en nätverkslänk på ett sådant sätt att en önskad väntetid överskris enbart med typ 1 % sannolikhet. Statistisk multiplexeringsvinst, Gauss trafik, On-Off källor, tjänstekvalitet, väntetidskvantil |
| Subject: | Telecommunications\Fluid Flow Models Telecommunications\Modelling of Bursty Traffics |
| Keywords: | Statistical multiplexing gain, Gaussian traffic, On-Off sources, QoS |
