Title :
Admission control policies for video on demand brokers
Author :
Qazzaz, B. ; Moreno, J. ; Xiao, J. ; Hernandez, P. ; Suppi, R. ; Luque, E.
Author_Institution :
Univ. Autonoma de Barcelona, Bellaterra, Spain
Abstract :
A VOD server has to employ admission control algorithms to decide whether a new client (request) can be admitted without violating the requirements of clients who are already being serviced. This paper presents and analyzes four specific admission control algorithms pertaining to the deterministic and predictive category. These algorithms are: maximum, adaptive maximum, average and adaptive average. They are studied in detail for CPU and network resources. The adaptive algorithms are our own contribution and we show that they use an exponential weighted average to guess the future resource needs of a stream, rather than just using the maximum or mean over the whole period. Thus, they provide smoothing and so a closer matching of resources used to those reserved and so higher capacity and less waiting time.
Keywords :
quality of service; telecommunication congestion control; video on demand; video servers; CPU broker; QoS; adaptive average; adaptive maximum; admission control policies; deterministic category; disk broker; exponential weighted average; memory broker; net broker; predictive category; quality of service; video on demand brokers; video servers; Adaptive algorithm; Admission control; Algorithm design and analysis; Delay; History; Network servers; Quality of service; Smoothing methods; Streaming media; Video on demand;
Conference_Titel :
Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7965-9
DOI :
10.1109/ICME.2003.1221670