Activity-Based Video Traffic Policing: A New Paradigm
IEEE Transactions on Multimedia, vol.16, no.5, 2014, pp.1446-1459
Overview
Proposes a new paradigm for policing bursty video: instead of fixed-rate token generation, the policer adapts to the video's own activity and Group-of-Pictures structure, in edge routers or as an SDN controller application.
Key contributions
- Five activity-aware policing mechanisms that vary the token rate using recent frame and GoP sizes.
- The Frame-Size-Aware Token Bucket reduces wrongly marked traffic from conforming users by 63% versus the classic approach.
- Matches classic policers on catching non-conforming users, so the gain comes without weaker enforcement.
Abstract
The constant development of new multimedia applications, which are “greedy” in terms of bandwidth and Quality of Service (QoS) requirements, calls for new approaches to the traffic policing problem. This paper proposes, analyzes and presents an extensive performance evaluation of such a new approach, namely the activity-based video traffic policing. Using as a motivation recent work, which has shown that the classic traffic policing mechanisms provide unnecessarily strict policing for conforming but bursty video users, we propose five simple and efficient new mechanisms, which take into consideration and exploit video activity and the Group-of Pictures (GoP) pattern of the video traces. Contrary to the classic approach, our mechanisms do not use a token generator based on a fixed rate, but vary the token generation rate according to specific video activity-based algorithms. The results show significant improvement for conforming users, and reveal that dynamic traffic policing can provide much higher efficiency than the widely used static mechanisms. One of the new mechanisms, the Frame Size Aware Token Bucket, is shown to clearly outperform all other policing approaches for conforming users, and to provide comparable policing results with the classic mechanisms for non-conforming video users.
Cite this paper
@article{DBLP:journals/tmm/MaratsolasKL14,
author = {Evangelos Maratsolas and
Polychronis Koutsakis and
Aggelos Lazaris},
title = {Video Activity-Based Traffic Policing: {A} New Paradigm},
journal = {{IEEE} Trans. Multimedia},
volume = {16},
number = {5},
pages = {1446--1459},
year = {2014},
url = {https://doi.org/10.1109/TMM.2014.2310592},
doi = {10.1109/TMM.2014.2310592},
timestamp = {Fri, 27 Dec 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/bib/journals/tmm/MaratsolasKL14},
bibsource = {dblp computer science bibliography, https://dblp.org}
}