Applicability of different models of burstiness to energy consumption estimation

Kazi Wali Ullah, Jukka K. Nurminen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 2012 8th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2012
Pages1-10
Number of pages10
DOIs
Publication statusPublished - 2012
MoE publication typeNot Eligible

Fingerprint

Energy utilization
Telecommunication traffic
Mobile devices
Bandwidth

Keywords

  • Bursty Traffic
  • Mobile Power Consumption
  • On/Off Model
  • Smooth Traffic

Cite this

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 (pp. 1-10) https://doi.org/10.1007/s00450-018-0394-7
Ullah, Kazi Wali ; Nurminen, Jukka K. / Applicability of different models of burstiness to energy consumption estimation. Proceedings of the 2012 8th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2012. 2012. pp. 1-10
@inproceedings{47a0f53343154785be3c1046847e71f6,
title = "Applicability of different models of burstiness to energy consumption estimation",
abstract = "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.",
keywords = "Bursty Traffic, Mobile Power Consumption, On/Off Model, Smooth Traffic",
author = "Ullah, {Kazi Wali} and Nurminen, {Jukka K.}",
year = "2012",
doi = "10.1007/s00450-018-0394-7",
language = "English",
isbn = "9781457714733",
pages = "1--10",
booktitle = "Proceedings of the 2012 8th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2012",

}

Ullah, KW & Nurminen, JK 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. pp. 1-10. https://doi.org/10.1007/s00450-018-0394-7

Applicability of different models of burstiness to energy consumption estimation. / Ullah, Kazi Wali; Nurminen, Jukka K.

Proceedings of the 2012 8th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2012. 2012. p. 1-10.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Applicability of different models of burstiness to energy consumption estimation

AU - Ullah, Kazi Wali

AU - Nurminen, Jukka K.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Bursty Traffic

KW - Mobile Power Consumption

KW - On/Off Model

KW - Smooth Traffic

U2 - 10.1007/s00450-018-0394-7

DO - 10.1007/s00450-018-0394-7

M3 - Conference article in proceedings

SN - 9781457714733

SP - 1

EP - 10

BT - Proceedings of the 2012 8th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2012

ER -

Ullah KW, Nurminen JK. 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. 2012. p. 1-10 https://doi.org/10.1007/s00450-018-0394-7