Multimedia content prediction using the Kalman filter
Rafael F. Diorio, Varese S. Timóteo
ARTIGO
Inglês
Este artigo foi apresentado no evento Winter Simulation Conference (WSC), 2017
Abstract: In this work, we explore a prediction method, based on the Kalman filter, for multimedia content delivery purposes. In summary, we predict the multimedia content based on their respective multimedia content identifier, such as by means unique identifiers in the network layer (using the...
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Abstract: In this work, we explore a prediction method, based on the Kalman filter, for multimedia content delivery purposes. In summary, we predict the multimedia content based on their respective multimedia content identifier, such as by means unique identifiers in the network layer (using the DSCP field in an IP network, for example) or in the application layer (using application content tags, for example). A computational environment, simulating four multimedia services, is used to obtain experimental results. The obtained results show that the proposed method can be used to perform the multimedia content prediction based on their multimedia content identifiers. This approach is important to improve the multimedia content delivery and to increase the user-perceived Quality of Experience (QoE)
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DOI: https://doi.org/10.1109/WSC.2017.8248211
Texto completo: https://ieeexplore.ieee.org/document/8248211
Multimedia content prediction using the Kalman filter
Rafael F. Diorio, Varese S. Timóteo
Multimedia content prediction using the Kalman filter
Rafael F. Diorio, Varese S. Timóteo
Fontes
Proceedings of the 2017 Winter Simulation Conference - Fonte avulsa) Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2017. p. 4574-4575 |