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On-demand media streaming over the Internet

  • M. M. Hefeeda
  • , B. K. Bhargava
  • Purdue University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We propose a new model for on-demand media streaming centered around the peer-to-peer (P2P) paradigm. The proposed P2P model can support a large number of clients with a low overall system cost. The P2P model allows for peers to share some of their resources with the system and in return, they get some incentives or rewards. We describe how to realize (or deploy) the proposed model. In addition, we present a new dispersion algorithm (for disseminating the media files into the system) and a searching algorithm (for locating peers with the required objects). We demonstrate the potential of the P2P model as an infrastructure for a large-scale on-demand media streaming service through an extensive simulation study on large, Internet-like, topologies. Starting with a limited streaming capacity (hence, low cost), the simulation shows that the capacity is rapidly increased and many clients can be served even if they come according to different arrival patterns such as constant rate arrivals, flash crowd arrivals, and Poisson arrivals.

Original languageEnglish
Title of host publicationProceedings - 9th IEEE Workshop on Future Trends of Distributed Computing Systems, FTDCS 2003
PublisherIEEE Computer Society
Pages279-285
Number of pages7
ISBN (Electronic)0769519105
DOIs
Publication statusPublished - 30 May 2003
Externally publishedYes
Event9th IEEE Workshop on Future Trends of Distributed Computing Systems, FTDCS 2003 - San Juan, Puerto Rico
Duration: 28 May 2003 → 30 May 2003

Publication series

NameProceedings of the IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems
Volume2003-January

Conference

Conference9th IEEE Workshop on Future Trends of Distributed Computing Systems, FTDCS 2003
Country/TerritoryPuerto Rico
CitySan Juan
Period28/05/03 → 30/05/03

Keywords

  • Costs
  • File servers
  • Large-scale systems
  • Network servers
  • Peer to peer computing
  • Scalability
  • Streaming media
  • Timing
  • Web and internet services
  • Web server

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