Generation and Analysis of Service-Based Traffic Flows
| Autor: | Alvaro Bernal, Marc Ruiz, Luis Velasco |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques |
| Rok vydání: | 2019 |
| Předmět: |
Service (business)
Logistic queue model Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors [Àrees temàtiques de la UPC] business.industry Computer science Service-based traffic generation Aggregated traffic models Telecommunication -- Traffic 020206 networking & telecommunications 02 engineering and technology Traffic flow 5G mobile communication systems Telecomunicació -- Tràfic 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing The Internet Granularity business Queue Multiple Consumer behaviour 5G Computer network |
| Zdroj: | ICTON UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The rapid availability of new services makes that network operators cannot exhaustively test their impact on the network or anticipate any capacity exhaustion. This situation will be worse with the imminent introduction of the 5G technology and the kind of totally new services that it will support. In this paper, we present CURSA-SQ, a methodology to analyze the network behavior when the specific traffic that would be generated by groups of service consumers is injected. CURSA-SQ includes input traffic flow modelling with second and sub-second granularity based on specific service and consumer behaviors. The methodology allows to accurately study traffic flows at the input and outputs of complex scenarios with multiples queues systems, as well as other metrics such as delays. This work was partially supported by the EC through the METRO-HAUL project (G.A. nº 761727), from the AEI/FEDER TWINS project (TEC2017-90097-R), and from the Catalan ICREA Institution. |
| Databáze: | OpenAIRE |
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