SIGMETRICS '94 Proceedings of the 1994 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Web server workload characterization: the search for invariants
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Analysis of educational media server workloads
NOSSDAV '01 Proceedings of the 11th international workshop on Network and operating systems support for digital audio and video
Revisiting web server workload invariants in the context of scientific web sites
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
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Coursecasting, the video and audio recording of lectures and events for live or on-demand playback, has become a significant IT service at many institutions of higher education. By making available on the internet collections of full-length digitized recordings, college and university information technology groups find themselves supporting large and varied distributed audiences--from local students to faraway elearners. Managing the up-to-date production and on-demand delivery of this kind of open content requires a technical infrastructure for capturing, publishing, and archiving that can adapt quickly to changing workload demands. Adapting quickly, moreover, requires special attention to understanding usage of the time-based content: the different kinds of users, where and how they access content, and shifting patterns of media access. Those who carry out usage analytics for open educational resource services involving internet-based video and audio face special challenges. This paper explores approaches to monitoring and analyzing audio and video content usage across two related but distinct dimensions-server workload and user behavior-in a large scale, open content coursecasting service.