CBM : online strategies on cost-aware buffer management for mobile video streaming

Mobile video traffic, owing to the rapid adoption of smartphones and tablets, has been growing exponentially in recent years and started to dominate the mobile Internet. In reality, mobile video applications commonly adopt buffering techniques to handle bandwidth fluctuation and minimize the impact...

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Main Authors: He, Jian, Xue, Zheng, Wu, Di, Wu, Oliver Dapeng, Wen, Yonggang
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2014
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Online Access:https://hdl.handle.net/10356/102811
http://hdl.handle.net/10220/18971
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1028112020-05-28T07:17:21Z CBM : online strategies on cost-aware buffer management for mobile video streaming He, Jian Xue, Zheng Wu, Di Wu, Oliver Dapeng Wen, Yonggang School of Computer Engineering DRNTU::Engineering::Electrical and electronic engineering Mobile video traffic, owing to the rapid adoption of smartphones and tablets, has been growing exponentially in recent years and started to dominate the mobile Internet. In reality, mobile video applications commonly adopt buffering techniques to handle bandwidth fluctuation and minimize the impact of stochastic wireless channels on user experiences. However, recent measurement work reveals that mobile users tend to abort more frequently than PC users during viewing videos. Such a high abortion rate results in a significant wastage of buffered video data, which is directly translated into monetary and energy cost for mobile users. In this paper, we propose an intelligent buffer management strategy called CBM (Cost-aware Buffer Management), for mobile video streaming applications. Our purpose is to minimize cost induced by un-consumed video data while respecting certain user experience requirements. To this objective, we formulate the problem into a constrained stochastic optimization problem, and apply the Lyapunov optimization theory to derive the corresponding online strategy for cost minimization. Different from conventional heuristic-based strategies, our proposed CBM strategy can provide provably performance guarantee with explicit bounds. We also conduct extensive simulations to validate the effectiveness of our proposed strategy and our experimental results show that CBM achieves significant gains over existing schemes. Accepted version 2014-03-26T03:05:40Z 2019-12-06T21:00:39Z 2014-03-26T03:05:40Z 2019-12-06T21:00:39Z 2013 2013 Journal Article He, J., Xue, Z., Wu, D., Wu, D. O., & Wen, Y. (2014). CBM: Online Strategies on Cost-Aware Buffer Management for Mobile Video Streaming. IEEE Transactions on Multimedia, 16(1), 242-252. https://hdl.handle.net/10356/102811 http://hdl.handle.net/10220/18971 10.1109/TMM.2013.2284894 en IEEE transactions on multimedia © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Published version of this article is available at [DOI: http://dx.doi.org/10.1109/TMM.2013.2284894]. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
He, Jian
Xue, Zheng
Wu, Di
Wu, Oliver Dapeng
Wen, Yonggang
CBM : online strategies on cost-aware buffer management for mobile video streaming
description Mobile video traffic, owing to the rapid adoption of smartphones and tablets, has been growing exponentially in recent years and started to dominate the mobile Internet. In reality, mobile video applications commonly adopt buffering techniques to handle bandwidth fluctuation and minimize the impact of stochastic wireless channels on user experiences. However, recent measurement work reveals that mobile users tend to abort more frequently than PC users during viewing videos. Such a high abortion rate results in a significant wastage of buffered video data, which is directly translated into monetary and energy cost for mobile users. In this paper, we propose an intelligent buffer management strategy called CBM (Cost-aware Buffer Management), for mobile video streaming applications. Our purpose is to minimize cost induced by un-consumed video data while respecting certain user experience requirements. To this objective, we formulate the problem into a constrained stochastic optimization problem, and apply the Lyapunov optimization theory to derive the corresponding online strategy for cost minimization. Different from conventional heuristic-based strategies, our proposed CBM strategy can provide provably performance guarantee with explicit bounds. We also conduct extensive simulations to validate the effectiveness of our proposed strategy and our experimental results show that CBM achieves significant gains over existing schemes.
author2 School of Computer Engineering
author_facet School of Computer Engineering
He, Jian
Xue, Zheng
Wu, Di
Wu, Oliver Dapeng
Wen, Yonggang
format Article
author He, Jian
Xue, Zheng
Wu, Di
Wu, Oliver Dapeng
Wen, Yonggang
author_sort He, Jian
title CBM : online strategies on cost-aware buffer management for mobile video streaming
title_short CBM : online strategies on cost-aware buffer management for mobile video streaming
title_full CBM : online strategies on cost-aware buffer management for mobile video streaming
title_fullStr CBM : online strategies on cost-aware buffer management for mobile video streaming
title_full_unstemmed CBM : online strategies on cost-aware buffer management for mobile video streaming
title_sort cbm : online strategies on cost-aware buffer management for mobile video streaming
publishDate 2014
url https://hdl.handle.net/10356/102811
http://hdl.handle.net/10220/18971
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