Analysis of educational media server workloads

  • Authors:
  • Jussara M. Almeida;Jeffrey Krueger;Derek L. Eager;Mary K. Vernon

  • Affiliations:
  • Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Department of Computer Science, University of Saskatchewan;Computer Sciences Department, University of Wisconsin-Madison

  • Venue:
  • NOSSDAV '01 Proceedings of the 11th international workshop on Network and operating systems support for digital audio and video
  • Year:
  • 2001

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Abstract

This paper presents an extensive analysis of the client workloads for educational media servers at two major U.S. universities. The goals of the analysis include providing data for generating synthetic workloads, gaining insight into the design of streaming content distribution networks, and quantifying how much server bandwidth can be saved in interactive educational environments by using recently developed multicast streaming methods for stored content.