Skip to main content

Stochastic Modeling and Performance Analysis for Video-On-Demand Systems

  • Conference paper
Distributed Computing – IWDC 2005 (IWDC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3741))

Included in the following conference series:

  • 578 Accesses

Abstract

This study deals with the VOD system having limited number of channels and servicing of requests for mixed movies of different durations and popularity. The performance measures such as channel utilization, number of channels in use, blocking probability of channels, etc. are quantified in terms of various design parameters like, total number of channels, users request arrival rate, batching interval and request service rate etc.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Chan, S.H.G., Tobagi, F.: Distributed Servers Architecture for Networked Video Services. IEEE/ACM Transactions on Networking 9(2), 125–136 (2001)

    Article  Google Scholar 

  2. Chan, S.H.G., Tobagi, F.: Caching Schemes for Distributed Video Services. In: Proceedings IEEE, ICC 1999, Vancouver, Canada, June 1999, pp. 988–994 (1999)

    Google Scholar 

  3. Luna, C.E., Kondi, L.P., Katsaggelos, A.K.: Maximizing User Utility in Video Streaming Applications. IEEE Transactions on Circuits and Systems for Video Technology 13(2), 141–148 (2003)

    Article  Google Scholar 

  4. Cherkasova, L., Gupta, M.: Analysis of Enterprise Media Server workloads: Access Patterns, Locality, Content Evolution and Rates of Change. IEEE/ACM Transactions on Networking 12(5) (October 2004)

    Google Scholar 

  5. Dan, A., Sitaram, D.: A generalized Interval caching Policy for Mixed Interactive and Long Video Workloads. IBM Research report, RC 19347, Yorktown Heights, NY (1993)

    Google Scholar 

  6. Wang, E.W.M., Chan, S.C.H.: Performance modeling of Video-on-Demand Systems in Broadband Networks. IEEE Transactions on Circuits systems for video Technology 11(7), 141–148 (2001)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tokekar, V., Ramani, A.K., Tokekar, S. (2005). Stochastic Modeling and Performance Analysis for Video-On-Demand Systems. In: Pal, A., Kshemkalyani, A.D., Kumar, R., Gupta, A. (eds) Distributed Computing – IWDC 2005. IWDC 2005. Lecture Notes in Computer Science, vol 3741. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11603771_54

Download citation

  • DOI: https://doi.org/10.1007/11603771_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30959-8

  • Online ISBN: 978-3-540-32428-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics