1. SABES: Statistical Available Bandwidth EStimation from passive TCP measurements
- Author
-
Ciaccia, F., Romero, I., Arcas-Abella, O., Diego Montero, Serral-Gracia, R., Nemirovsky, M., Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, and Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
- Subjects
Telecomunicació -- Tràfic -- Gestió ,Available bandwidth ,Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors [Àrees temàtiques de la UPC] ,Computer network protocols ,Passive probing ,Telecommunication -- Traffic -- Management ,Network machine learning ,Protocols de xarxes d'ordinadors - Abstract
Estimating available network resources is fundamental when adapting the sending rate both at the application and transport layer. Traditional approaches either rely on active probing techniques or iteratively adapting the average sending rate, as is the case for modern TCP congestion control algorithms. In this paper, we propose a statistical method based on the inter-packet arrival time analysis of TCP acknowledgments to estimate a path available bandwidth. SABES first estimates the bottleneck link capacity exploiting the TCP flow slow start traffic patterns. Then, an heuristic based on the capacity estimation, provides an approximation of the end-to-end available bandwidth. Exhaustive experimentation on both simulations and real-world scenarios were conducted to validate our technique, and our results are promising. Furthermore, we train an artificial neural network to improve the estimation accuracy. This work was supported by the grant 2015DI023 as part of the Industrial PhD grants of AGAUR and Generalitat de Catalunya. Project co-financed by the Spanish Ministry of Ciencia Innovacion y Universidades with reference RTC-2017-6655-7 (FEDER).
- Published
- 2020