Conference Paper

A benchmarking system for multipath overlay multimedia streaming

Norwegian Comput. Center, Oslo
DOI: 10.1109/ICME.2008.4607569 Conference: Multimedia and Expo, 2008 IEEE International Conference on
Source: DBLP

ABSTRACT The rapid growth of the Internet multimedia services brings new challenges to how multimedia streams can be delivered to the users over bandwidth-constraint networks. Different strategies that exploit multipath streaming in order to provide better utilization of the Internet resources have been proposed by the research community. However, there exists no metric that allows us to evaluate how close these strategies are to the optimal resource utilization. This paper proposes a static benchmarking system that models the best possible distribution of streams along multiple paths in an overlay network that is shared by several senders and receivers. We have tested it with several different network topologies, and present the test results in this paper.

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: We develop and evaluate a rate-allocation multipath algorithm for delivery of video in a Video-on-Demand (VoD) system built upon an overlay network. To evaluate how well the rate-allocation algorithms approach the optimum, we have earlier built a benchmarking system that provides the optimal solution for assigning available bandwidth to delivery paths. This solution is also proportionally-fair. We implement a distributed algorithm for multipath rate allocation that operates based on information collected by overlay nodes. The algorithm is evaluated in the OMNet++ simulation environment and analyzed against the aforementioned benchmarking.
    ITST-2011: 2011 11th International Conference on ITS Telecommunications; 01/2011
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: A streaming system that uses an overlay network for multipath streaming needs to make decisions concerning the distribution of the available bandwidth among all of its clients. This decision making should aim at delivering the best possible quality to all clients while providing an optimal utilization of the network resources. We consider a scenario where videos are hierarchically layered-encoded and most requests are negligibly overlapped in time. It implies that using multicast is not efficient, and instead, the streams are striped and allocated to multiple paths from the server to the client. To evaluate how well the rate-allocation algorithms approach optimality, we have earlier built a benchmarking system that provides the optimal solution for assigning available bandwidth to delivery paths. However, as video quality is not linearly related to bitrate, the trivial maximization of the total consumed bandwidth does not necessarily maximize the video quality. To address this problem, we define a metric that assesses video quality for a group of clients that we use as a utility function in the revised benchmarking system. Due to its concavity, this utility function distributes the bandwidth resources proportionally fair between the clients of the system.
    Internet Multimedia Services Architecture and Application(IMSAA), 2010 IEEE 4th International Conference on; 01/2011
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Concerning video transmission on the Internet, we present a model for estimating the subjective quality from objective measurements at the transmission receivers and on the network. The model reflects the quality degradation subject to parameters like packet loss ratio and bit rate, and is calibrated using the prerecorded results from subjective quality assessments. Besides the model and the calibration, the main achievement of this paper is the model's validation by implementation in a monitoring tool. It can be used by content and network providers to swiftly localise the causes of a poor quality of experience (QoE). It also can help content providers make decisions regarding the adjustment of vital parameters, such as encoding bit rate and error correction mechanisms. We show how the estimated subjective service quality can be applied for decision making in content delivery networks that consist of overlay networks and multi-access networks.

Full-text (2 Sources)

Available from
May 16, 2014