DocumentCode
179681
Title
Stochastic modelling and analysis of video on demand system with VCR functionalities
Author
Ghosh, Debashis ; Pandey, Manjusha ; Tyagi, Neeraj
Author_Institution
Dept. of Comput. Sci. & Eng., Motilal Nehru Nat. Inst. of Technol., Allahabad, India
fYear
2014
fDate
July 30 2014-Aug. 1 2014
Firstpage
78
Lastpage
84
Abstract
Recently multimedia streaming applications have become popular for the dissemination of video content both for academic and commercial purposes. Large scale dissemination of video streaming with an acceptable Quality of Service (QoS) is challenging due to non-uniform, dynamically changing and best-effort services provided by the underlying Internet. This challenge becomes multifold when VCR functionalities such as Jump, Back, Stop, Pause etc. are also provided with video streaming applications. In this paper, we present the stochastic modelling and analysis of a distributed VoD (Video on Demand) streaming application with VCR functionalities to reason about desired network characteristics for acceptable QoS. We use a simple VoD system with centralised server as our basic example. We model this system as Continuous Time Markov Chain (CTMC) process and utilize PRISM model checker for the analysis. The analysis is performed in terms of throughput, end-to-end delay, jitter, error rate and frame loss rate. This analysis provides a basis to decide the threshold of loss rate of underlying network for an acceptable QoS.
Keywords
Markov processes; quality of service; video on demand; video streaming; Internet; PRISM model checker; VCR functionalities; continuous time Markov chain process; distributed VoD streaming application; multimedia streaming applications; quality of service; simple VoD system; stochastic modelling; video on demand system; Analytical models; Delays; Quality of service; Servers; Stochastic processes; Streaming media; Video recording; Continuous Time Markov Chain; Quality of Service; VCR; Video on Demand;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Engineering Conference (ICSEC), 2014 International
Conference_Location
Khon Kaen
Print_ISBN
978-1-4799-4965-6
Type
conf
DOI
10.1109/ICSEC.2014.6978173
Filename
6978173
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