A statistical admission control algorithm for multimedia servers
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Stochastic resource prediction and admission for interactive sessions on multimedia servers
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Measurement-based admission control with aggregate traffic envelopes
IEEE/ACM Transactions on Networking (TON)
A Resource Reservation Scheme for Synchronized Distributed Multimedia Sessions
Multimedia Tools and Applications
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Delivering presentations from multimedia servers
The VLDB Journal — The International Journal on Very Large Data Bases
Use of Statistical Methods to Reduce Delays for Media Playback Buffering
ICMCS '98 Proceedings of the IEEE International Conference on Multimedia Computing and Systems
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
Fine-grained device management in an interactive media server
IEEE Transactions on Multimedia
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Interactive multimedia sessions cause high variations in workload due to presenting different media streams at different points in time. As users interact, the workload variations can not be predicted precisely. But admission control mechanisms need to at least estimate the workload in order to provide Quality of Service. In this paper, we investigate two approaches to estimate workloads and on this basis introduce admission control mechanisms that give stochastic QoS guarantees for such sessions. The observation based approach uses bookkept workload data for the prediction. The model based approach employs knowledge about usage patterns and media streams. For both approaches we introduce a uniform stochastic admission control criterion. Furthermore, we illustrate the relative benefits of these approaches for various session scenarios by means of simulations.