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Flexible Multimedia Streaming Based on the Adaptive Chunk Algorithm  

Kim Dong-Hwan (중앙대학교 전자전기공학부)
Kim Jung-Keun (한국전자통신연구원)
Chang Tae-Gyu (중앙대학교 전자전기공학부)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.54, no.5, 2005 , pp. 324-326 More about this Journal
Abstract
An adaptive Chunk algorithm is newly devised and a collaborative streaming is designed for high quality multimedia streaming service under time varying traffic conditions. An LMS based prediction filter is used to compensate the effect of time varying background traffic of the WAN. The underflow is generated for the $20\~28\%$ of the data stored in the central server by applying the FARIMA(Fractional Autoregressive Integrated Moving Average) traffic modeling method. The proposed algorithm is tested with the MPEG-2 video files and compensates $71\~85\%$ of central stream underflow.
Keywords
Multimedia Streaming; QoS; Chunk Algorithm; LMS Algorithm; Adaptive Filter;
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