DocumentCode
2557075
Title
FRames-Ensured-Delivery algorithm for smoothing and multiplexing prerecorded videos
Author
Bembaron, Yaakov A. ; Hadar, Ofer
Author_Institution
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear
2004
fDate
28 June-1 July 2004
Firstpage
39
Lastpage
43
Abstract
Video-on-demand (VoD) servers normally store MPEG compressed versions of prerecorded videos in order to reduce their network bandwidth demands. Compressed videos have variable-bit-rate (VBR) for a specific compression quality. Transmission of videos on the network at a peak rate results in poor bandwidth utilization, while transmission at a lower rate results in quality-of-service (QoS) degradation. Implementation of a traffic smoothing on the VBR stream, using a buffer at the client receiver, is a widely known approach to overcome the rate variability problem. This paper presents a novel smoothing and multiplexing protocol for prerecorded videos that constructs a FRames-Ensured-Delivery (FRED) and constant-bit-rate (CBR) transmission plan. The protocol achieves perfect QoS, and also provides ideal bandwidth utilization without any frame loss. According to the proposed protocol, the server rate can be changed to explore its affect on the startup latency and the client´s buffer size requirements. Simulation results are provided. We compare FRED protocol to a published work called Join-the-Shortest-Queue (JSQ). FRED protocol overcomes JSQ protocol in places where there is a lack of bandwidth or where the statistical multiplexing gain is not big enough.
Keywords
data compression; multiplexing; protocols; quality of service; smoothing methods; telecommunication traffic; video coding; video on demand; video servers; video streaming; FRED; FRames-Ensured-Delivery algorithm; JSQ; Join-the-Shortest-Queue; MPEG compressed version; QoS; VoD servers; bandwidth utilization; constant bit rate transmission; prerecorded video multiplexing; prerecorded video smoothing; quality of service; rate variability problem; statistical multiplexing; traffic smoothing; video compression; video-on-demand; Bandwidth; Degradation; Network servers; Protocols; Quality of service; Smoothing methods; Streaming media; Telecommunication traffic; Transform coding; Videos;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: Research and Education, 2004. ITRE 2004. 2nd International Conference on
Print_ISBN
0-7803-8625-6
Type
conf
DOI
10.1109/ITRE.2004.1393642
Filename
1393642
Link To Document