A multi-agent method for streaming quality monitoring and analysis over media grid

Li, Xiaorong, Jie, Wei ORCID: https://orcid.org/0000-0002-5392-0009, Xiuju, Fu, Chan, Hoong-Maeng, Ho, Quoc-Thuan, Hung, Terence, Ong, David, Turner, Stephen John and Veeravalli, Bharadwaj (2007) A multi-agent method for streaming quality monitoring and analysis over media grid. In: 4th IEEE Consumer Communications and Networking Conference (CCNC 2007), 11 -13 Jan 2007, Las Vegas, USA.

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Abstract

Media streaming is a promising technology which enables fast and adaptive delivery of media contents and allows clients to view videos online without waiting for the entire multimedia files to be completely downloaded. In this paper, we address the issue of streaming quality measurement and assessment over a large scale network. We propose a multiagent system for streaming quality monitoring and analysis (MASQMA) which can real-time monitor and analyze the quality of media streaming over a large scale IP network. Based on a decentralized infrastructure, such a system is scalable and flexible to meet versatile streaming applications without increasing the processing burden on the current media streaming systems. It allows users to real-time monitor the QoS with a variety of quality metrics. We conduct experiments and study the performance under various situations (e.g., bandwidth fluctuations, packet loss, and frame jitter) which are frequently encountered in Wide Area Networks. The results show the multi-agent architecture is practical and flexible to monitor and analyze streaming quality in real time.

Item Type: Conference or Workshop Item (Paper)
ISSN: 2331-9852
Identifier: 10.1109/CCNC.2007.71
Page Range: pp. 327-331
Identifier: 10.1109/CCNC.2007.71
Keywords: Monitoring, Streaming media, Videos, Large-scale systems, Quality of service, IP networks, Grid computing, Network servers, High performance computing, Real time systems
Subjects: Computing
Depositing User: Vani Aul
Date Deposited: 18 Dec 2013 11:30
Last Modified: 28 Aug 2021 07:16
URI: https://repository.uwl.ac.uk/id/eprint/565

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