research-article

Leveraging QoE Heterogenity for Large-Scale Livecaset Scheduling

Authors:

Rui-Xiao Zhang,

Jiangchuan Liu,

Lifeng SunAuthors Info & Claims

MM '20: Proceedings of the 28th ACM International Conference on Multimedia

Pages 3678 - 3686

https://doi.org/10.1145/3394171.3413918

Published: 12 October 2020 Publication History

Abstract

Livecast streaming has received great success in recent years. Although many prior efforts have suggested that dynamic viewer scheduling according to the quality of service (QoS) can improve user engagement, they may suffer inefficiency due to their ignorance of viewer heterogeneity in how the QoS impact quality of experience (QoE).

In this paper, we conduct measurement studies over large-scale data provided by a top livecast platform in China. We observe that QoE is influenced by a lot of QoS and non-QoS factors, and most importantly, the QoE sensitivity to QoS metrics can vary significantly among viewers. Inspired by the above insights, we propose HeteroCast, a novel livecast scheduling framework for intelligent viewer scheduling based on viewer heterogeneity. In detail, HeteroCast addresses this concern by solving two sub-problems. For the first sub-problem (i.e., the QoE modeling problem), we use the deep factorization machine (DeepFM) based method to precisely map complicated factors (QoS and non-QoS factors) to QoE and build the QoE model. For the second sub-problem (i.e., the QoE-aware scheduling problem), we use a graph-matching method to generate the best viewer allocation policy for each CDN provider. Specifically, by using some pruning techniques, HeteroCast only introduces slight overhead and can well adapt to the large-scale livecast scenario. Through extensive evaluation on real-world traces, HeteroCast is demonstrated to increase the average QoE by 8.87%-10.09%.

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Cited By

Li ZZhong PHuang JGao FWang J(2024)Achieving QoE Fairness in Bitrate Allocation of 360° Video StreamingIEEE Transactions on Multimedia10.1109/TMM.2023.327728626(1169-1178)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3277286
Huang SWang ZZhang ZZhang HWang XWang W(2024)Seer: Proactive Revenue-Aware Scheduling for Live Streaming Services in Crowdsourced Cloud-Edge PlatformsIEEE INFOCOM 2024 - IEEE Conference on Computer Communications10.1109/INFOCOM52122.2024.10621424(1801-1810)Online publication date: 20-May-2024
https://doi.org/10.1109/INFOCOM52122.2024.10621424
Huang TZhang RWu CSun LEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Optimizing Adaptive Video Streaming with Human FeedbackProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3611771(1707-1718)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3611771
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cover image ACM Conferences

MM '20: Proceedings of the 28th ACM International Conference on Multimedia

October 2020

4889 pages

ISBN:9781450379885

DOI:10.1145/3394171

General Chairs:
Chang Wen Chen
Chinese University of Hong Kong, Shenzhen, China
,
Rita Cucchiara
UNIMORE, Italy
,
Xian-Sheng Hua
Alibaba Group, China
,
Program Chairs:
Guo-Jun Qi
Futurewei Technologies, USA
,
Elisa Ricci
UNITN & Fondazione Bruno Kessler, Italy
,
Zhengyou Zhang
Tencent, China
,
Roger Zimmermann
National University of Singapore, Singapore

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Published: 12 October 2020

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Beijing Key Lab of Networked Multimedia
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National Key R&D Program of China

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MM '20: The 28th ACM International Conference on Multimedia

October 12 - 16, 2020

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Overall Acceptance Rate 995 of 4,171 submissions, 24%

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Cited By

Li ZZhong PHuang JGao FWang J(2024)Achieving QoE Fairness in Bitrate Allocation of 360° Video StreamingIEEE Transactions on Multimedia10.1109/TMM.2023.327728626(1169-1178)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3277286
Huang SWang ZZhang ZZhang HWang XWang W(2024)Seer: Proactive Revenue-Aware Scheduling for Live Streaming Services in Crowdsourced Cloud-Edge PlatformsIEEE INFOCOM 2024 - IEEE Conference on Computer Communications10.1109/INFOCOM52122.2024.10621424(1801-1810)Online publication date: 20-May-2024
https://doi.org/10.1109/INFOCOM52122.2024.10621424
Huang TZhang RWu CSun LEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Optimizing Adaptive Video Streaming with Human FeedbackProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3611771(1707-1718)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3611771
Li CZhang RHuang TJia LSun LEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Concerto: Client-server Orchestration for Real-Time Video AnalyticsProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3611770(9215-9223)Online publication date: 26-Oct-2023
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Yuan ZRen KWang GMiao XChen HDuh WHuang HKato MMothe JPoblete B(2023)Hydrus: Improving Personalized Quality of Experience in Short-form Video ServicesProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591696(1127-1136)Online publication date: 19-Jul-2023
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Zhang RYang CWang XHuang TWu CLiu JSun L(2023)Practical Cloud-Edge Scheduling for Large-Scale Crowdsourced Live StreamingIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2023.326773134:7(2055-2071)Online publication date: Jul-2023
https://doi.org/10.1109/TPDS.2023.3267731
Chang ZChan S(2023)Bi-Criteria Approximation for a Multi-Origin Multi-Channel Auto-Scaling Live Streaming CloudIEEE Transactions on Multimedia10.1109/TMM.2022.315209325(2839-2850)Online publication date: 1-Jan-2023
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Zhang RHuang TWu CSun L(2023)Who is the Rising Star? Demystifying the Promising Streamers in Crowdsourced Live StreamingIEEE INFOCOM 2023 - IEEE Conference on Computer Communications10.1109/INFOCOM53939.2023.10228881(1-10)Online publication date: 17-May-2023
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Zhang RYang CWang XHuang TWu CLiu JSun LMagalhães Jdel Bimbo ASatoh SSebe NAlameda-Pineda XJin QOria VToni L(2022)AggCast: Practical Cost-effective Scheduling for Large-scale Cloud-edge Crowdsourced Live StreamingProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3547807(3026-3034)Online publication date: 10-Oct-2022
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https://dl.acm.org/doi/10.1145/3472727.3472805

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