Sangam: A Confluence of Knowledge Streams

Dynamic Bandwidth Allocation Based on Online Traffic Prediction for Real-Time MPEG-4 Video Streams

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dc.contributor Electrical and Computer Engineering
dc.creator Liang, Yao
dc.creator Han, Mei
dc.date 2012-08-24T12:15:32Z
dc.date 2012-08-24T12:15:32Z
dc.date 2006-09-13
dc.date 2012-08-24T12:15:32Z
dc.date.accessioned 2023-03-01T18:54:12Z
dc.date.available 2023-03-01T18:54:12Z
dc.identifier EURASIP Journal on Advances in Signal Processing. 2006 Sep 13;2007(1):087136
dc.identifier http://hdl.handle.net/10919/18946
dc.identifier https://doi.org/10.1155/2007/87136
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/281804
dc.description The distinct characteristics of variable bit rate (VBR) video traffic and its quality of service (QoS) constraints have posed a unique challenge on network resource allocation and management for future integrated networks. Dynamic bandwidth allocation attempts to adaptively allocate resources to capture the burstiness of VBR video traffic, and therefore could potentially increase network utilization substantially while still satisfying the desired QoS requirements. We focus on prediction-based dynamic bandwidth allocation. In this context, the multiresolution learning neural-network-based traffic predictor is rigorously examined. A well-known-heuristic based approach RED-VBR scheme is used as a baseline for performance evaluation. Simulations using real-world MPEG-4 VBR video traces are conducted, and a comprehensive performance metrics is presented. In addition, a new concept of renegotiation control is introduced and a novel renegotiation control algorithm based on binary exponential backoff (BEB) is proposed to efficiently reduce renegotiation frequency.
dc.description Published version
dc.format application/pdf
dc.format text/xml
dc.format application/pdf
dc.language en_US
dc.rights Creative Commons Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.rights Yao Liang et al.; licensee BioMed Central Ltd.
dc.title Dynamic Bandwidth Allocation Based on Online Traffic Prediction for Real-Time MPEG-4 Video Streams
dc.title EURASIP Journal on Advances in Signal Processing
dc.type Article - Refereed
dc.type Text


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