Back to Search Start Over

Improving TCP performance and reducing self-induced congestion with receive window modulation

Authors :
Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
Ciaccia, Francesco
Arcas Abella, Oriol
Montero Banegas, Diego Teodoro
Romero Ruiz, Ivan
Milito, Rodolfo
Serral Gracià, René
Nemirovsky, Mario
Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
Ciaccia, Francesco
Arcas Abella, Oriol
Montero Banegas, Diego Teodoro
Romero Ruiz, Ivan
Milito, Rodolfo
Serral Gracià, René
Nemirovsky, Mario
Publication Year :
2019

Abstract

We present a control module for software edge routers called Receive Window Modulation - RWM. Its main objective is to mitigate what we define as self-induced congestion: the result of traffic emission patterns at the source that cause buffering and packet losses in any of the intermediate routers along the path between the connection's endpoints. The controller modifies the receiver's TCP advertised window to match the computed bandwidth-delay product, based on the connection round-trip time estimation and the bandwidth locally available at the edge router. The implemented controller does not need any endpoint modification, allowing it to be deployed in corporate edge routers, increasing visibility and control capabilities. This scheme, when used in real-world experiments with loss-based congestion control algorithms such as CUBIC, is shown to optimize access link utilization and per-connection goodput, and to reduce latency variability and packet losses.<br />This work was supported by the grant 2015DI023 in the framework of the Industrial PhD grants of AGAUR and Generalitat de Catalunya.<br />Peer Reviewed<br />Postprint (author's final draft)

Details

Database :
OAIster
Notes :
6 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1247081494
Document Type :
Electronic Resource