JOURNAL ARTICLE

Resource allocation for audio and video streaming over the Internet

Abstract

Streaming of compressed audio and video (AV) over the Internet is a very challenging task since the current Internet only provides best-effort services and lacks Quality of Service (QoS) guarantee. This paper addresses resource allocation of multiple compressed AV streams delivered over the Internet to achieve end-to-end optimal quality. A multimedia streaming TCP-friendly transport protocol (MSTFP) is proposed to adaptively estimate the network bandwidth and smooth the sending rate. The resources are then allocated dynamically according to the media encoding distortion and network degradation. MPEG-4 streams with multiple video objects are used in the simulation to demonstrate the effectiveness of our proposed scheme.

Keywords:
Computer science The Internet Computer network Quality of service Bandwidth (computing) Resource allocation Multimedia Encoding (memory) Real-time computing World Wide Web

Metrics

16
Cited By
2.56
FWCI (Field Weighted Citation Impact)
8
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Network Traffic and Congestion Control
Physical Sciences →  Computer Science →  Computer Networks and Communications
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Peer-to-Peer Network Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications

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