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c ACM In: Proc. of 8th ACM Int. Conf. on Multimedia (ACM-MM) 2000 pages 117126 Stochastic Resource Prediction and Admission for
 

Summary: c ACM In: Proc. of 8th ACM Int. Conf. on Multimedia (ACM-MM) 2000 pages 117­126
Stochastic Resource Prediction and Admission for
Interactive Sessions on Multimedia Servers
Matthias Friedrich , Silvia Hollfelder, Karl Aberer
GMD­IPSI Integrated Publication and Information Systems Institute
Dolivostr. 15, 64293 Darmstadt, Germany
hollfelder@gmd.de
ABSTRACT
In highly interactive multimedia applications startup latency
is significant, and may negatively impact performance and
Quality of Service (QoS). To avoid this, our approach is to ad-
mit whole multimedia sessions instead of single media streams.
For the prediction of the varying resource demands within
a session, which are mainly correlated to user behavior, we
model user behavior as Continuous Time Markov Chains
(CTMCs). In this paper, we propose a mathematical analy-
sis of the CTMC model. This allows to anticipate possible
overload and in turn to plan an admission control policy. As
a result, our approach provides better control on the tradeoff
between server utilization and QoS. Simulation studies con-

  

Source: Aberer, Karl - Faculté Informatique et Communications, Ecole Polytechnique Fédérale de Lausanne

 

Collections: Computer Technologies and Information Sciences