Client behaviour prediction in a proactive video server: new considerations and results

Kárpáti, Péter and Szkaliczki, Tibor (2009) Client behaviour prediction in a proactive video server: new considerations and results. In: IMSA 2009. 13th IASTED international conference on internet and multimedia systems and applications. Human-centered multimedia computing. Honolulu, 2009..

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A self-organizing Video-on-Demand server is able to dynamically adapt to the changing circumstances by replicating and removing the server components and the stored videos. The video replication takes considerable time therefore it should be performed in advance, in other words proactively. This paper is a follow up article of [1] in which we examined 23 predictor functions on artificial and real datasets in order to supply VoD systems with proactive behaviour. We investigated the applied similarity measures further and also developed new variants in order to incorporate task specific weight distributions. Using a new set of similarity measures, the ranking of the predictors were repeated. The two best predictors were put on trial in a large-scale simulation of proactive and reactive video servers. The results of the performance studies show how the type of the predictor or its absence affects the overall performance of the server.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Client behaviour predictor, similarity measure, proactive, VoD server, simulation
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: ELearning Department
Depositing User: Eszter Nagy
Date Deposited: 11 Dec 2012 16:05
Last Modified: 11 Dec 2012 16:05

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