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HomeFlow: inferring device usage with network traces

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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HomeFlow: inferring device usage with network traces. / Bates, Oliver; Broadbent, Matthew.
UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication. New York: ACM, 2013. p. 815-820.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Bates, O & Broadbent, M 2013, HomeFlow: inferring device usage with network traces. in UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication. ACM, New York, pp. 815-820. https://doi.org/10.1145/2494091.2499624

APA

Bates, O., & Broadbent, M. (2013). HomeFlow: inferring device usage with network traces. In UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (pp. 815-820). ACM. https://doi.org/10.1145/2494091.2499624

Vancouver

Bates O, Broadbent M. HomeFlow: inferring device usage with network traces. In UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication. New York: ACM. 2013. p. 815-820 doi: 10.1145/2494091.2499624

Author

Bates, Oliver ; Broadbent, Matthew. / HomeFlow : inferring device usage with network traces. UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication. New York : ACM, 2013. pp. 815-820

Bibtex

@inproceedings{a5cfeb03518e44d8bc5573e72972e3a1,
title = "HomeFlow: inferring device usage with network traces",
abstract = "Previous studies in home energy have taken a service oriented approach to disaggregating direct energy consumption. With a particular focus on media and ICT services in the home, our proposed platform builds upon this work by providing activity oriented data, collected through home network monitoring.This information will be used to build a profile of communication between devices. This includes inter-device communication within the confines of a home environment, and also the use of external resources outside of the home. This provides knowledge of device behaviour and enables profiling of device relationships. Furthermore, monitoring communication to locations outside of the home will enable us to estimate associated indirect energy costs. These are incurred when a user consumes an externally provided service, such as Video-on-Demand.",
keywords = "energy in practices, home energy , home networking , micro accounting",
author = "Oliver Bates and Matthew Broadbent",
year = "2013",
doi = "10.1145/2494091.2499624",
language = "English",
isbn = "9781450322157",
pages = "815--820",
booktitle = "UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication",
publisher = "ACM",

}

RIS

TY - GEN

T1 - HomeFlow

T2 - inferring device usage with network traces

AU - Bates, Oliver

AU - Broadbent, Matthew

PY - 2013

Y1 - 2013

N2 - Previous studies in home energy have taken a service oriented approach to disaggregating direct energy consumption. With a particular focus on media and ICT services in the home, our proposed platform builds upon this work by providing activity oriented data, collected through home network monitoring.This information will be used to build a profile of communication between devices. This includes inter-device communication within the confines of a home environment, and also the use of external resources outside of the home. This provides knowledge of device behaviour and enables profiling of device relationships. Furthermore, monitoring communication to locations outside of the home will enable us to estimate associated indirect energy costs. These are incurred when a user consumes an externally provided service, such as Video-on-Demand.

AB - Previous studies in home energy have taken a service oriented approach to disaggregating direct energy consumption. With a particular focus on media and ICT services in the home, our proposed platform builds upon this work by providing activity oriented data, collected through home network monitoring.This information will be used to build a profile of communication between devices. This includes inter-device communication within the confines of a home environment, and also the use of external resources outside of the home. This provides knowledge of device behaviour and enables profiling of device relationships. Furthermore, monitoring communication to locations outside of the home will enable us to estimate associated indirect energy costs. These are incurred when a user consumes an externally provided service, such as Video-on-Demand.

KW - energy in practices

KW - home energy

KW - home networking

KW - micro accounting

U2 - 10.1145/2494091.2499624

DO - 10.1145/2494091.2499624

M3 - Conference contribution/Paper

SN - 9781450322157

SP - 815

EP - 820

BT - UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

PB - ACM

CY - New York

ER -