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Summary: 1 RESOURCE PREDICTION AND
ADMISSION CONTROL FOR
INTERACTIVE VIDEO BROWSING
SCENARIOS USING APPLICATION
SEMANTICS
Karl Aberer, Silvia Hollfelder
GMD { German National Research Center for Information Technology
IPSI (Integrated Publication and Information Systems Institute)
Dolivostr. 15, D-64293 Darmstadt, Germany
{abererjhollfeld}@darmstadt.gmd.de
Abstract: Highly interactive multimedia applications, like browsing in video
databases, generate strongly varying loads on the media server during the pre-
sentation of media data. Existing admission control approaches for limiting the
number of concurrent users and thus guaranteeing acceptable service quality
are only suited for applications with uniform load characteristics like video-
on-demand. We propose a session-oriented approach to admission control that
is based on the stochastical model of Continuous Time Markov Chains, which
allows to describe the di erent presentation states occurring in the interactive
access to the multimedia database. The model is derived from semantic in-
formation on the forthcoming browsing session. In particular, it considers the
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