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

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

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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