Peer-to-Peer (P2P) based overlays often ignore the boundaries of network domains and make traffic management challenging for network operators.
Locality-aware techniques are a promising approach to alleviate this impact, but often benefit only network operators and fail to provide similar benefits to end-users and overlay providers. This is especially severe with video streaming overlays that are responsible for large amount of Internet traffic. In this paper we present and evaluate a collaborative approach where a network operator measures the behavior of overlay users and promotes a subset of them in terms of up- and download bandwidth. This creates an incentive to users and overlay providers to cooperate by using locality awareness according to the operator's policies. We evaluate our approach both with a real application and via extensive simulations to analyze the user selection metrics and the impact on different network operators. Our study shows that this cooperative traffic management approach leads to a situation that is beneficial for users, content providers, and network operators.
%0 Journal Article
%1 info3-article-2012-92
%A Pussep, Konstantin
%A Lehrieder, Frank
%A Gross, Christian
%A Oechsner, Simon
%A Guenther, Markus
%A Meyer, Sebastian
%D 2012
%J Computer Networks
%K myown
%P 1118–1130
%T Cooperative Traffic Management for Video Streaming Overlays
%V 56(3)
%X Peer-to-Peer (P2P) based overlays often ignore the boundaries of network domains and make traffic management challenging for network operators.
Locality-aware techniques are a promising approach to alleviate this impact, but often benefit only network operators and fail to provide similar benefits to end-users and overlay providers. This is especially severe with video streaming overlays that are responsible for large amount of Internet traffic. In this paper we present and evaluate a collaborative approach where a network operator measures the behavior of overlay users and promotes a subset of them in terms of up- and download bandwidth. This creates an incentive to users and overlay providers to cooperate by using locality awareness according to the operator's policies. We evaluate our approach both with a real application and via extensive simulations to analyze the user selection metrics and the impact on different network operators. Our study shows that this cooperative traffic management approach leads to a situation that is beneficial for users, content providers, and network operators.
@article{info3-article-2012-92,
abstract = {Peer-to-Peer (P2P) based overlays often ignore the boundaries of network domains and make traffic management challenging for network operators.
Locality-aware techniques are a promising approach to alleviate this impact, but often benefit only network operators and fail to provide similar benefits to end-users and overlay providers. This is especially severe with video streaming overlays that are responsible for large amount of Internet traffic. In this paper we present and evaluate a collaborative approach where a network operator measures the behavior of overlay users and promotes a subset of them in terms of up- and download bandwidth. This creates an incentive to users and overlay providers to cooperate by using locality awareness according to the operator's policies. We evaluate our approach both with a real application and via extensive simulations to analyze the user selection metrics and the impact on different network operators. Our study shows that this cooperative traffic management approach leads to a situation that is beneficial for users, content providers, and network operators.},
added-at = {2016-03-10T17:32:42.000+0100},
author = {Pussep, Konstantin and Lehrieder, Frank and Gross, Christian and Oechsner, Simon and Guenther, Markus and Meyer, Sebastian},
biburl = {https://www.bibsonomy.org/bibtex/2c74f7ab4c36e308fb92b3c2cd1372e05/uniwue_info3},
interhash = {3b383030b72542603f69f41ad732744e},
intrahash = {c74f7ab4c36e308fb92b3c2cd1372e05},
journal = {Computer Networks},
keywords = {myown},
pages = {1118–1130},
timestamp = {2022-03-14T00:09:09.000+0100},
title = {Cooperative Traffic Management for Video Streaming Overlays},
volume = {56(3)},
year = 2012
}