DocumentCode
2593826
Title
Load Distribution Algorithm Based on Transcoding Time Estimation for Distributed Transcoding Servers
Author
Seo, Dongmahn ; Kim, Jongwoo ; Jung, Inbum
Author_Institution
Robot./Syst. Div., Korea Inst. of Sci. & Technol., Seoul, South Korea
fYear
2010
fDate
21-23 April 2010
Firstpage
1
Lastpage
8
Abstract
As a result of improvements in wireless communication technologies, a multimedia data streaming service can be provided for mobile clients such as PDAs and cellular phones. Because mobile devices have low computing power and work on a low network bandwidth, a transcoding technology is needed to adapt the original streaming media for mobile environments. To provide quality of service, original encoded media are transcoded within limited time and transmitted to clients without ceasing and jittering phenomena. In particular, when large-scale mobile clients demand streaming services, load distribution methods among distributed transcoding servers have a tremendous impact on the total number of quality of service streams. In this paper, a new load distribution method is proposed based on transcoding time estimation with transcoding servers´ information, movie information and target transcoding bit-rate. In experiments, the proposed method produces the best performance scalability according to the increase of transcoding servers.
Keywords
distributed processing; media streaming; resource allocation; distributed transcoding servers; jittering phenomena; load distribution algorithm; multimedia data streaming service; streaming services; transcoding time estimation; wireless communication technologies; Cellular phones; Communications technology; Mobile computing; Multimedia communication; Network servers; Personal digital assistants; Quality of service; Streaming media; Transcoding; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Applications (ICISA), 2010 International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-5941-4
Electronic_ISBN
978-1-4244-5943-8
Type
conf
DOI
10.1109/ICISA.2010.5480586
Filename
5480586
Link To Document