Adaptive multimedia cloud computing center applied on h 264/svc streaming

Wei Ting Cho, Chin-Feng Lai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In recent years, themultimedia streaming technology becomes increasingly mature, and as network bandwidth and computing power of personal hand-held devices are developed; therefore, it leads the requirements for multimedia quality increased. In order to provide the quality multimedia content to numerous users, how to divide the loading of content servers to improve the streaming quality is an important challenge. As the concept of multimedia cloud network is formed, how to allocate multimedia streaming service to the nodes in the media cloud network is discussed in this paper. This study designs H.264/SVC streaming service at the media cloud computing center, with the video most suitable for client-side quality provided based on H.264/SVC features (temporal scalability, spatial scalability, and quality scalability) and network bandwidth. In addition, the loading balance and communication mechanisms between nodes are discussed, where the best node is selected by the evaluating node, client-side bandwidth and computing power, for determining the appropriate video streaming path that is used to provide quality multimedia streaming service. According to the experimental results, the bandwidth prediction error rate for general multimedia network streaming service can be maintained at about 6 %, while the utilization rate of various nodes of the multimedia cloud computing center is maintained in a balanced state during the period of executing multi-streaming service.

Original languageEnglish
Title of host publicationCloud Computing - 4th International Conference, CloudComp 2013, Revised Selected Papers
EditorsMin Chen, Victor C.M. Leung
PublisherSpringer Verlag
Pages14-26
Number of pages13
ISBN (Print)9783319055053
DOIs
Publication statusPublished - 2014 Jan 1
Event4th International Conference on Cloud Computing, CloudComp 2013 - Wuhan, China
Duration: 2013 Oct 172013 Oct 19

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume133
ISSN (Print)1867-8211

Other

Other4th International Conference on Cloud Computing, CloudComp 2013
CountryChina
CityWuhan
Period13-10-1713-10-19

Fingerprint

Cloud computing
Bandwidth
Scalability
Video streaming
Computer networks
Servers
Communication

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Cho, W. T., & Lai, C-F. (2014). Adaptive multimedia cloud computing center applied on h 264/svc streaming. In M. Chen, & V. C. M. Leung (Eds.), Cloud Computing - 4th International Conference, CloudComp 2013, Revised Selected Papers (pp. 14-26). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 133). Springer Verlag. https://doi.org/10.1007/978-3-319-05506-0_2
Cho, Wei Ting ; Lai, Chin-Feng. / Adaptive multimedia cloud computing center applied on h 264/svc streaming. Cloud Computing - 4th International Conference, CloudComp 2013, Revised Selected Papers. editor / Min Chen ; Victor C.M. Leung. Springer Verlag, 2014. pp. 14-26 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).
@inproceedings{77b03084c4d94e4aa1125f17926780b6,
title = "Adaptive multimedia cloud computing center applied on h 264/svc streaming",
abstract = "In recent years, themultimedia streaming technology becomes increasingly mature, and as network bandwidth and computing power of personal hand-held devices are developed; therefore, it leads the requirements for multimedia quality increased. In order to provide the quality multimedia content to numerous users, how to divide the loading of content servers to improve the streaming quality is an important challenge. As the concept of multimedia cloud network is formed, how to allocate multimedia streaming service to the nodes in the media cloud network is discussed in this paper. This study designs H.264/SVC streaming service at the media cloud computing center, with the video most suitable for client-side quality provided based on H.264/SVC features (temporal scalability, spatial scalability, and quality scalability) and network bandwidth. In addition, the loading balance and communication mechanisms between nodes are discussed, where the best node is selected by the evaluating node, client-side bandwidth and computing power, for determining the appropriate video streaming path that is used to provide quality multimedia streaming service. According to the experimental results, the bandwidth prediction error rate for general multimedia network streaming service can be maintained at about 6 {\%}, while the utilization rate of various nodes of the multimedia cloud computing center is maintained in a balanced state during the period of executing multi-streaming service.",
author = "Cho, {Wei Ting} and Chin-Feng Lai",
year = "2014",
month = "1",
day = "1",
doi = "10.1007/978-3-319-05506-0_2",
language = "English",
isbn = "9783319055053",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "14--26",
editor = "Min Chen and Leung, {Victor C.M.}",
booktitle = "Cloud Computing - 4th International Conference, CloudComp 2013, Revised Selected Papers",
address = "Germany",

}

Cho, WT & Lai, C-F 2014, Adaptive multimedia cloud computing center applied on h 264/svc streaming. in M Chen & VCM Leung (eds), Cloud Computing - 4th International Conference, CloudComp 2013, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 133, Springer Verlag, pp. 14-26, 4th International Conference on Cloud Computing, CloudComp 2013, Wuhan, China, 13-10-17. https://doi.org/10.1007/978-3-319-05506-0_2

Adaptive multimedia cloud computing center applied on h 264/svc streaming. / Cho, Wei Ting; Lai, Chin-Feng.

Cloud Computing - 4th International Conference, CloudComp 2013, Revised Selected Papers. ed. / Min Chen; Victor C.M. Leung. Springer Verlag, 2014. p. 14-26 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 133).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Adaptive multimedia cloud computing center applied on h 264/svc streaming

AU - Cho, Wei Ting

AU - Lai, Chin-Feng

PY - 2014/1/1

Y1 - 2014/1/1

N2 - In recent years, themultimedia streaming technology becomes increasingly mature, and as network bandwidth and computing power of personal hand-held devices are developed; therefore, it leads the requirements for multimedia quality increased. In order to provide the quality multimedia content to numerous users, how to divide the loading of content servers to improve the streaming quality is an important challenge. As the concept of multimedia cloud network is formed, how to allocate multimedia streaming service to the nodes in the media cloud network is discussed in this paper. This study designs H.264/SVC streaming service at the media cloud computing center, with the video most suitable for client-side quality provided based on H.264/SVC features (temporal scalability, spatial scalability, and quality scalability) and network bandwidth. In addition, the loading balance and communication mechanisms between nodes are discussed, where the best node is selected by the evaluating node, client-side bandwidth and computing power, for determining the appropriate video streaming path that is used to provide quality multimedia streaming service. According to the experimental results, the bandwidth prediction error rate for general multimedia network streaming service can be maintained at about 6 %, while the utilization rate of various nodes of the multimedia cloud computing center is maintained in a balanced state during the period of executing multi-streaming service.

AB - In recent years, themultimedia streaming technology becomes increasingly mature, and as network bandwidth and computing power of personal hand-held devices are developed; therefore, it leads the requirements for multimedia quality increased. In order to provide the quality multimedia content to numerous users, how to divide the loading of content servers to improve the streaming quality is an important challenge. As the concept of multimedia cloud network is formed, how to allocate multimedia streaming service to the nodes in the media cloud network is discussed in this paper. This study designs H.264/SVC streaming service at the media cloud computing center, with the video most suitable for client-side quality provided based on H.264/SVC features (temporal scalability, spatial scalability, and quality scalability) and network bandwidth. In addition, the loading balance and communication mechanisms between nodes are discussed, where the best node is selected by the evaluating node, client-side bandwidth and computing power, for determining the appropriate video streaming path that is used to provide quality multimedia streaming service. According to the experimental results, the bandwidth prediction error rate for general multimedia network streaming service can be maintained at about 6 %, while the utilization rate of various nodes of the multimedia cloud computing center is maintained in a balanced state during the period of executing multi-streaming service.

UR - http://www.scopus.com/inward/record.url?scp=84943255071&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84943255071&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-05506-0_2

DO - 10.1007/978-3-319-05506-0_2

M3 - Conference contribution

SN - 9783319055053

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 14

EP - 26

BT - Cloud Computing - 4th International Conference, CloudComp 2013, Revised Selected Papers

A2 - Chen, Min

A2 - Leung, Victor C.M.

PB - Springer Verlag

ER -

Cho WT, Lai C-F. Adaptive multimedia cloud computing center applied on h 264/svc streaming. In Chen M, Leung VCM, editors, Cloud Computing - 4th International Conference, CloudComp 2013, Revised Selected Papers. Springer Verlag. 2014. p. 14-26. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). https://doi.org/10.1007/978-3-319-05506-0_2