Estimation of the parameters of token-buckets in multi-hop environments
| Autor: | Javier Aracil, Jorge E. López de Vergara, Javier Ramos, David Muelas |
|---|---|
| Přispěvatelé: | UAM. Departamento de Tecnología Electrónica y de las Comunicaciones |
| Rok vydání: | 2018 |
| Předmět: |
Telecomunicaciones
Service-level agreements Computer Networks and Communications Computer science Quality of service Network and systems monitoring and measurements Real-time computing 020206 networking & telecommunications 02 engineering and technology Security token Hop (networking) Quality-of-service management Service level Token-Bucket 0202 electrical engineering electronic engineering information engineering Maximum burst size 020201 artificial intelligence & image processing Committed information rate |
| Zdroj: | Biblos-e Archivo. Repositorio Institucional de la UAM Consejo Superior de Investigaciones Científicas (CSIC) Biblos-e Archivo: Repositorio Institucional de la UAM Universidad Autónoma de Madrid |
| ISSN: | 1389-1286 |
| DOI: | 10.1016/j.comnet.2018.04.003 |
| Popis: | Bandwidth verification in shaping scenarios receives much attention of both operators and clients because of its impact on Quality of Service (QoS). As a result, measuring shapers’ parameters, namely the Committed Information Rate (CIR), Peak Information Rate (PIR) and Maximum Burst Size (MBS), is a relevant issue when it comes to assess QoS. In this paper, we present a novel algorithm, TBCheck, which serves to accurately measure such parameters with minimal intrusiveness. These measurements are the cornerstone for the validation of Service Level Agreements (SLA) with multiple shaping elements along an end-to-end path. As a further outcome of this measurement method, we define a formal taxonomy of multi-hop shaping scenarios. A thorough performance evaluation covering the latter taxonomy shows the advantages of TBCheck compared to other tools in the state of the art, yielding more accurate results even in the presence of cross-traffic. Additionally, our findings show that MBS estimation is unfeasible when the link load is high, regardless the measurement technique, because the token-bucket will always be empty. Consequently, we propose an estimation policy which maximizes the accuracy by measuring CIR during busy hours and PIR and MBS during off-peak hours This work was partially supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund under the project Tráfica (MINECO/FEDER TEC2015-69417-C2-1-R) |
| Databáze: | OpenAIRE |
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