Abstract
This paper evaluates the energy cost reduction of Over-The-Top mobile video content prefetching in various network conditions. Energy cost reduction is achieved by reducing the time needed to download content over the radio interface by prefetching data on higher data rates, compared to the standard on demand download. To simulate various network conditions and user behavior, a stochastic access channel model was built and validated using the actual user traces. By changing the model parameters, the energy cost reduction of prefetching in different channel settings was determined, identifying regions in which prefetching is likely to deliver the largest energy gains. The results demonstrate that the largest gains (up to 70 %) can be obtained for data rates with strong correlation and low noise variation. Additionally, based on statistical properties of data rates, such as peak-to-mean and average data rate, prefetching strategy can be devised enabling the highest energy cost reduction that can be obtained using the proposed prefetching scheme.
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Notes
- 1.
c has been excluded from the parameter space, since it can be derived from (2). Hence, its impact on \(E_{max}\) is discussed with other model parameters in the text.
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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Devlic, A., Lungaro, P., Segall, Z., Tollmar, K. (2014). Evaluation of Energy Profiles for Mobile Video Prefetching in Generalized Stochastic Access Channels. In: Stojmenovic, I., Cheng, Z., Guo, S. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 131. Springer, Cham. https://doi.org/10.1007/978-3-319-11569-6_17
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DOI: https://doi.org/10.1007/978-3-319-11569-6_17
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