Scheduling of optimal DASH streaming

Yu Chi Liu; Wei Chun Chung; Meng Huang Lee; Kuan Jen Wang; Shin Hung Chang; Chi Jen Wu; Ray I. Chang; Jan Ming Ho

doi:10.1145/2896387.2896428

Scheduling of optimal DASH streaming

Yu Chi Liu, Wei Chun Chung, Meng Huang Lee, Kuan Jen Wang, Shin Hung Chang, Chi Jen Wu, Ray I. Chang, Jan Ming Ho

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

DASH (Dynamic Adaptive Streaming over HTTP) is now the most popular standard in video streaming. For supporting DASH video transmission over residential networks with small bandwidth variation (such as DSL based network for IPTV), we design an optimal transmission schedule, L2H. Given a transmission rate and an initial delay, the schedule can optimize the QoE (quality of experience) metrics such as rebuffering, lexicographically maximal resolution, number of rate switching events, and smoothness of the rate change. We further present L2H_B for considering usage of the system buffer when applying the L2H. L2H_B comes up with its benefit when comparing with other research work by objective QoE evaluations. Besides, by introducing the system buffer size constraint, the proposed algorithm can control the transmission schedule to let highest-resolution segments appear as soon as possible for prompting the users to stay tuned.

Original language	English
Title of host publication	Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016
Editors	Lyamine Guezouli, Homero Toral Cruz, Faouzi Hidoussi, Djallel Eddine Boubiche, Ahcene Bounceur
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450340632
DOIs	https://doi.org/10.1145/2896387.2896428
State	Published - 22 03 2016
Externally published	Yes
Event	International Conference on Internet of Things and Cloud Computing, ICC 2016 - Cambridge, United Kingdom Duration: 22 03 2016 → 23 03 2016

Publication series

Name	ACM International Conference Proceeding Series
Volume	22-23-March-2016

Conference

Conference	International Conference on Internet of Things and Cloud Computing, ICC 2016
Country/Territory	United Kingdom
City	Cambridge
Period	22/03/16 → 23/03/16

Bibliographical note

Publisher Copyright:
© 2016 ACM.

Keywords

DASH
IPTV
Quality of experience (QoE)
Scheduling

Access to Document

10.1145/2896387.2896428

Cite this

Liu, Y. C., Chung, W. C., Lee, M. H., Wang, K. J., Chang, S. H., Wu, C. J., Chang, R. I., & Ho, J. M. (2016). Scheduling of optimal DASH streaming. In L. Guezouli, H. T. Cruz, F. Hidoussi, D. E. Boubiche, & A. Bounceur (Eds.), Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016 Article a43 (ACM International Conference Proceeding Series; Vol. 22-23-March-2016). Association for Computing Machinery. https://doi.org/10.1145/2896387.2896428

Liu, Yu Chi ; Chung, Wei Chun ; Lee, Meng Huang et al. / Scheduling of optimal DASH streaming. Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016. editor / Lyamine Guezouli ; Homero Toral Cruz ; Faouzi Hidoussi ; Djallel Eddine Boubiche ; Ahcene Bounceur. Association for Computing Machinery, 2016. (ACM International Conference Proceeding Series).

@inproceedings{afec4c0b75ba47e3add36296e53626bb,

title = "Scheduling of optimal DASH streaming",

abstract = "DASH (Dynamic Adaptive Streaming over HTTP) is now the most popular standard in video streaming. For supporting DASH video transmission over residential networks with small bandwidth variation (such as DSL based network for IPTV), we design an optimal transmission schedule, L2H. Given a transmission rate and an initial delay, the schedule can optimize the QoE (quality of experience) metrics such as rebuffering, lexicographically maximal resolution, number of rate switching events, and smoothness of the rate change. We further present L2HB for considering usage of the system buffer when applying the L2H. L2HB comes up with its benefit when comparing with other research work by objective QoE evaluations. Besides, by introducing the system buffer size constraint, the proposed algorithm can control the transmission schedule to let highest-resolution segments appear as soon as possible for prompting the users to stay tuned.",

keywords = "DASH, IPTV, Quality of experience (QoE), Scheduling",

author = "Liu, {Yu Chi} and Chung, {Wei Chun} and Lee, {Meng Huang} and Wang, {Kuan Jen} and Chang, {Shin Hung} and Wu, {Chi Jen} and Chang, {Ray I.} and Ho, {Jan Ming}",

note = "Publisher Copyright: {\textcopyright} 2016 ACM.; International Conference on Internet of Things and Cloud Computing, ICC 2016 ; Conference date: 22-03-2016 Through 23-03-2016",

year = "2016",

month = mar,

day = "22",

doi = "10.1145/2896387.2896428",

language = "英语",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

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Liu, YC, Chung, WC, Lee, MH, Wang, KJ, Chang, SH, Wu, CJ, Chang, RI & Ho, JM 2016, Scheduling of optimal DASH streaming. in L Guezouli, HT Cruz, F Hidoussi, DE Boubiche & A Bounceur (eds), Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016., a43, ACM International Conference Proceeding Series, vol. 22-23-March-2016, Association for Computing Machinery, International Conference on Internet of Things and Cloud Computing, ICC 2016, Cambridge, United Kingdom, 22/03/16. https://doi.org/10.1145/2896387.2896428

Scheduling of optimal DASH streaming. / Liu, Yu Chi; Chung, Wei Chun; Lee, Meng Huang et al.
Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016. ed. / Lyamine Guezouli; Homero Toral Cruz; Faouzi Hidoussi; Djallel Eddine Boubiche; Ahcene Bounceur. Association for Computing Machinery, 2016. a43 (ACM International Conference Proceeding Series; Vol. 22-23-March-2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Liu, Yu Chi

AU - Chung, Wei Chun

AU - Lee, Meng Huang

AU - Wang, Kuan Jen

AU - Chang, Shin Hung

AU - Wu, Chi Jen

AU - Chang, Ray I.

AU - Ho, Jan Ming

PY - 2016/3/22

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N2 - DASH (Dynamic Adaptive Streaming over HTTP) is now the most popular standard in video streaming. For supporting DASH video transmission over residential networks with small bandwidth variation (such as DSL based network for IPTV), we design an optimal transmission schedule, L2H. Given a transmission rate and an initial delay, the schedule can optimize the QoE (quality of experience) metrics such as rebuffering, lexicographically maximal resolution, number of rate switching events, and smoothness of the rate change. We further present L2HB for considering usage of the system buffer when applying the L2H. L2HB comes up with its benefit when comparing with other research work by objective QoE evaluations. Besides, by introducing the system buffer size constraint, the proposed algorithm can control the transmission schedule to let highest-resolution segments appear as soon as possible for prompting the users to stay tuned.

AB - DASH (Dynamic Adaptive Streaming over HTTP) is now the most popular standard in video streaming. For supporting DASH video transmission over residential networks with small bandwidth variation (such as DSL based network for IPTV), we design an optimal transmission schedule, L2H. Given a transmission rate and an initial delay, the schedule can optimize the QoE (quality of experience) metrics such as rebuffering, lexicographically maximal resolution, number of rate switching events, and smoothness of the rate change. We further present L2HB for considering usage of the system buffer when applying the L2H. L2HB comes up with its benefit when comparing with other research work by objective QoE evaluations. Besides, by introducing the system buffer size constraint, the proposed algorithm can control the transmission schedule to let highest-resolution segments appear as soon as possible for prompting the users to stay tuned.

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KW - IPTV

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BT - Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016

A2 - Guezouli, Lyamine

A2 - Cruz, Homero Toral

A2 - Hidoussi, Faouzi

A2 - Boubiche, Djallel Eddine

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PB - Association for Computing Machinery

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Y2 - 22 March 2016 through 23 March 2016

ER -

Liu YC, Chung WC, Lee MH, Wang KJ, Chang SH, Wu CJ et al. Scheduling of optimal DASH streaming. In Guezouli L, Cruz HT, Hidoussi F, Boubiche DE, Bounceur A, editors, Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016. Association for Computing Machinery. 2016. a43. (ACM International Conference Proceeding Series). doi: 10.1145/2896387.2896428

Scheduling of optimal DASH streaming

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Keywords

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