Title :
Detecting suspended video streams through variance-time analysis
Author_Institution :
Dept. of Comput. Sci. & Eng., Fukuoka Inst. of Technol., Fukuoka, Japan
fDate :
3/1/2009 12:00:00 AM
Abstract :
To detect suspended video streams, an algorithm is proposed which analyzes traffic data to sense changes in variances. The objective of the algorithm is to help restart suspended streams as quickly as possible in cooperation with network administrators, mechanisms to change routes, etc. The algorithm handles traffic data of a number of streams all together to detect one or more suspended streams without using the information on the number of streams and on each stream´s data rate. It works with the same parameter values for both LAN and WAN traffic streams, even if their packet interarrival-time distributions are different. Experiments with 41 live TV streams showed that suspension is detectable when the traffic rate decrease caused by the suspension is 1.6%.
Keywords :
Internet; telecommunication traffic; time series; video streaming; Internet traffic analysis; LAN traffic stream; WAN traffic stream; packet interarrival-time distribution; suspended video streams detection; traffic time series; variance-time analysis; Analysis of variance; Change detection algorithms; Cryptography; Internet; Streaming media; TV; Telecommunication traffic; Video sharing; Videoconference; Virtual private networks; Suspension detection, video stream, variancetime-plot, Internet traffic analysis;
Journal_Title :
Network and Service Management, IEEE Transactions on
DOI :
10.1109/TNSM.2009.090305