Please use this identifier to cite or link to this item:
|Title:||A multi-agent method for streaming quality monitoring and analysis over media grid|
Quality of service
|Source:||Li, X., Jie, W., Fu, X., Chan, H.-M., Ho, Q.-T., Hung, T., Ong, D., Turner, S.J., Veeravalli, B. (2007). A multi-agent method for streaming quality monitoring and analysis over media grid. 2007 4th Annual IEEE Consumer Communications and Networking Conference, CCNC 2007 : 327-331. ScholarBank@NUS Repository. https://doi.org/10.1109/CCNC.2007.71|
|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 flies 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 multi-agent system for streaming quality monitoring and analysis (MASQMA) which can real-time monitor and analyze the quality of media streaming over a large scale EP 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. © 2007 IEEE.|
|Source Title:||2007 4th Annual IEEE Consumer Communications and Networking Conference, CCNC 2007|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 14, 2018
checked on Feb 19, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.