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Evaluation of shared resource allocation using SAND for ABR streaming

: Pham, Stefan; Heeren, Patrick; Silhavy, Daniel; Arbanowski, Stefan


Zink, M. ; Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Multimedia -SIGMM-; Association for Computing Machinery -ACM-, Special Interest Group on Data Communication -SIGCOMM-:
10th ACM Multimedia Systems Conference, MMSys 2019. Proceedings : June 18-21, 2019, Amherst, Massachusetts
New York: ACM, 2019
ISBN: 978-1-4503-6297-9
Multimedia Systems Conference (MMSys) <10, 2019, Amherst/Mass.>
Fraunhofer FOKUS ()

Adaptive bitrate (ABR) media streaming clients adjust the quality of media content depending on the current network conditions. The Shared Resource Allocation (SRA) feature defined in MPEG-SAND (Server and network assisted DASH), allows servers to allocate bandwidth to streaming clients. This enables coordination and prioritization of clients that are connected to the same network bottleneck, e.g. to maximize the number of clients that can play back a stream fluently. In this paper we evaluate different bandwidth limitation strategies and analyze the effects on the clients. For this purpose, a testbed using multiple Raspberry Pis was created. The results show that in various scenarios, SRA improves the fairness and the QoE of streaming sessions. Solely allocating a maximum quality level to the client is not sufficient in some cases. Therefore, additional means for SRA are evaluated.