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Energy Efficiency as an Orchestration Service for Mobile Internet of Things
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V5Z 1M9, Canada.
Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V5Z 1M9, Canada.
2015 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a novel power management solution for resource-constrained devices in the context of Internet of Things (IoT). We focus on smartphones in the IoT, as they are getting increasingly popular and equipped with strong sensing capabilities. Smartphones have complex and asynchronous power consumption incurred by heterogeneous components including their on-board sensors. Their interaction with the cloud allows them to offload computation tasks and access remote data storage. In this work, we aim at monitoring the power consumption behaviours of the smartphones, profiling both individual applications and the system as a whole, to make better decisions in power management. We design a cloud orchestration architecture as an epic predictor of behaviours of smart devices by extracting their application characteristics and resource utilization. We design and implement this architecture to perform energy profiling and data analysis on massive data logs. This cloud orchestration architecture coordinates a number of cloud-based services and supports dynamic workflows between service components, which can reduce energy consumption in the energy profiling process itself. Experimental results showed that small portion of applications dominate the energy consumption of smartphones. Heuristic profiling can effectively reduce energy consumption in data logging and communications without scarifying the accuracy of power monitoring.

Place, publisher, year, edition, pages
2015. 155-162 p.
Keyword [en]
IoT; Data Communications; Mobile Cloud Computing; Energy Efficiency; Orchestration
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-272221DOI: 10.1109/CloudCom.2015.90ISI: 000380458100020ISBN: 9781467395601 (print)OAI: oai:DiVA.org:uu-272221DiVA: diva2:893525
Conference
IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
Available from: 2016-01-12 Created: 2016-01-12 Last updated: 2016-09-15Bibliographically approved

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Ngai, Edith

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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