Multi-interface Communication: Interface Selection Under Statistical Performance Constraints
S. Kar, A. Rizk, and M. Fidler. 30th International Teletraffic Congress (ITC 30), Vienna, Austria, (2018)
Abstract
Recent advancement of multipath communications has unravelled a new dimension of research that focuses on balanced and efficient utilization of available alternatives. Dynamic strategies in this context leverage the most updated information to outperform comparable static versions and have been under the spotlight of late. In this work, we propose such an adaptive strategy which seeks to improve the worst-case performance of a multipath communication system by looking at waiting time bounds of respective subsystems. We compare the performance of this algorithm with round-robin and join-the-shortest-queue strategies numerically and highlight the environments where our strategy tends to be superior.
%0 Conference Paper
%1 Kar18ITC30
%A Kar, Sounak
%A Rizk, Amr
%A Fidler, Markus
%B 30th International Teletraffic Congress (ITC 30)
%C Vienna, Austria
%D 2018
%K NetCal_2018_-_Session_I:_Applications itc itc30
%T Multi-interface Communication: Interface Selection Under Statistical Performance Constraints
%U https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc30/Kar18ITC30.pdf?inline=true
%X Recent advancement of multipath communications has unravelled a new dimension of research that focuses on balanced and efficient utilization of available alternatives. Dynamic strategies in this context leverage the most updated information to outperform comparable static versions and have been under the spotlight of late. In this work, we propose such an adaptive strategy which seeks to improve the worst-case performance of a multipath communication system by looking at waiting time bounds of respective subsystems. We compare the performance of this algorithm with round-robin and join-the-shortest-queue strategies numerically and highlight the environments where our strategy tends to be superior.
@inproceedings{Kar18ITC30,
abstract = {Recent advancement of multipath communications has unravelled a new dimension of research that focuses on balanced and efficient utilization of available alternatives. Dynamic strategies in this context leverage the most updated information to outperform comparable static versions and have been under the spotlight of late. In this work, we propose such an adaptive strategy which seeks to improve the worst-case performance of a multipath communication system by looking at waiting time bounds of respective subsystems. We compare the performance of this algorithm with round-robin and join-the-shortest-queue strategies numerically and highlight the environments where our strategy tends to be superior.},
added-at = {2018-09-12T17:41:00.000+0200},
address = {Vienna, Austria},
author = {Kar, Sounak and Rizk, Amr and Fidler, Markus},
biburl = {https://www.bibsonomy.org/bibtex/273e4a7606e6cef36a5433bd2aacb5c55/itc},
booktitle = {30th International Teletraffic Congress (ITC 30)},
interhash = {f9c1616048f6d6245e82297b1bbd6f64},
intrahash = {73e4a7606e6cef36a5433bd2aacb5c55},
keywords = {NetCal_2018_-_Session_I:_Applications itc itc30},
timestamp = {2020-05-24T20:14:34.000+0200},
title = {Multi-interface Communication: Interface Selection Under Statistical Performance Constraints},
url = {https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc30/Kar18ITC30.pdf?inline=true},
year = 2018
}