A Resource Allocation Law to Satisfy QoS Demands on ATM Burst and Connection Level
| Document type: | Miscellaneous |
|---|---|
| Author(s): | Markus Fiedler, Åke Arvidsson |
| Title: | A Resource Allocation Law to Satisfy QoS Demands on ATM Burst and Connection Level |
| Translated title: | En resursallokeringsformel för att tillgodose QoS krav på ATM burst och förbindelse nivå |
| Type of publication: | COST 257 Technical Document 257TD(99)06 |
| Year: | 1999 |
| 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: | In this paper, we show the validity of a quite simple resource allocation law, which is not restricted to one time scale. Besides the fact that this law describes the basic behaviour of resource allocation for sources with variable bit rates, it offers savings of time and memory in practice when systems are to be dimensioned and routing has to be performed, and particularly in dynamic resource allocation with real-time requirements. The law is given as a function of traffc demand and consists of a constant, a linear and a power term. Its coeffcients are in influenced by traffic and system characteristics as well as by QoS requirements and may be determined by a Genetic Algorithm. Many examples show the universal character of this law for sources with variable bit rates. |
| Summary in Swedish: | Ett resursallokeringsformel presenteras som tar hänsyn till olika tidsskalor. Genetiska algoritmer används för att ta fram koefficienterna. resursallokering i datanätverk, förbindelse, tjänstekvalitet, dimensionering, approximationsformel, genetiska algoritmer |
| Subject: | Telecommunications\Fluid Flow Models Telecommunications\Modelling of Bursty Traffics |
| Keywords: | Quality of Service, burst level, connection level, genetic algorithm, dimensioning |
