Applicability of different models of burstiness to energy consumption estimation
| Autor: | Kazi Wali Ullah, Jukka K. Nurminen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Engineering
business.industry Estimation theory Bursty Traffic Bandwidth (signal processing) Real-time computing ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Mobile Power Consumption Energy consumption Data modeling On/Off Model Burstiness Computer Science::Networking and Internet Architecture SDG 7 - Affordable and Clean Energy business Traffic generation model Mobile device Smooth Traffic Energy (signal processing) |
| Zdroj: | Ullah, K W & Nurminen, J K 2012, Applicability of different models of burstiness to energy consumption estimation . in Proceedings of the 2012 8th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2012 . Springer, pp. 1-10 . https://doi.org/10.1007/s00450-018-0394-7 CSNDSP |
| DOI: | 10.1007/s00450-018-0394-7 |
| Popis: | In this paper we investigate alternative ways to model traffic burstiness with the aim of finding a model which allows mapping of traffic characteristics to energy consumption estimates. The goal is to find a model that would be simple enough to be useful for application and service developers to study how their design decisions influence mobile energy consumption. We investigate alternative traffic models, poisson model, self-similar model, and on/off model, to see how suitable they are for the characterization of WiFi traffic and for the estimation of energy consumption. We generate both bursty and smooth traffic with same average bandwidth and measure the difference in energy consumption. As expected, bursty traffic consumes less energy in the mobile device compared to the smooth data traffic because the radio interface can spend part of the time in a low-power idle state. We then fit on/off model to the measurement results and see that it can characterize the traffic very well and that it can be used to derive a good estimate for energy consumption. In addition to the extreme cases, we also apply the on/off model to YouTube download in order to see how the model works for real traffic. Our key finding is that the on/off model serves well as a simple way for traffic characterization and it can be used to estimate the energy consumption fairly well. |
| Databáze: | OpenAIRE |
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