Maximizing the availability and reliability of videos in VoD system using markov chain

R. Ashok Kumar, K. Hareesh, K. Ganesan, D. H. Manjaiah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In a Video on Demand system, by forwarding the server video stream client by client, a chain based scheme is formed, which reduces the server load. The existing chaining schemes are not reliable because there are frequent breaks in the chain among the clients due to stringent bandwidth and buffer, stop fail, and hardware and software failures. This leads to stream failures within the client, in turn affects other clients in the cluster. Then, the performance of the overall system degrades. To achieve system reliability we formulated a Continuous Time Markov Chain reliability model and analyzed the availability and reliability of the streams during the intricate circumstances. Numerical results show that for 5000 streams, we obtain the reliability between 60% and 80%, even though the individual clients are highly unreliable.

Original languageEnglish
Title of host publication2009 2nd International Conference on Communication Theory, Reliability, and Quality of Service, CTRQ 2009
Pages15-19
Number of pages5
DOIs
Publication statusPublished - 12-11-2009
Event2009 2nd International Conference on Communication Theory, Reliability, and Quality of Service, CTRQ 2009 - Colmar, France
Duration: 20-07-200925-07-2009

Conference

Conference2009 2nd International Conference on Communication Theory, Reliability, and Quality of Service, CTRQ 2009
CountryFrance
CityColmar
Period20-07-0925-07-09

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Software
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Kumar, R. A., Hareesh, K., Ganesan, K., & Manjaiah, D. H. (2009). Maximizing the availability and reliability of videos in VoD system using markov chain. In 2009 2nd International Conference on Communication Theory, Reliability, and Quality of Service, CTRQ 2009 (pp. 15-19). [5176062] https://doi.org/10.1109/CTRQ.2009.16