University of Oulu

T. Mekonnen et al., "Energy Consumption Analysis of Edge Orchestrated Virtualized Wireless Multimedia Sensor Networks," in IEEE Access, vol. 6, pp. 5090-5100, 2018. doi: 10.1109/ACCESS.2017.2783447

Energy consumption analysis of edge orchestrated virtualized wireless multimedia sensor networks

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Author: Mekonnen, Tenager1; Komu, Miika2; Morabito, Roberto2;
Organizations: 1Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
2Ericsson, 02420 Kirkkonummi, Finland
3Centre for Ubiquitous Computing, University of Oulu, 90014 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 5 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2018-04-16


Virtualization enabled by container-based technologies is a recently emerging concept in the integration of Internet of Things (IoT) and cloud computing. Due of their lightweight nature, container-based virtualization tools improve manageability of cloud-based IoT solutions by making it possible to update application software on the fly. Although different studies have demonstrated the feasibility of efficiently running container-based virtualization on low-power IoT nodes, the implication of doing so on battery-powered nodes has been overlooked. In this paper, we investigate how much energy overhead is generated by Docker-based virtualization on battery powered camera sensor nodes. In our scenario, camera nodes are most of the time in “power off”state to save energy. They are switched on for streaming video only when activity is detected by motion sensor nodes. By means of empirical measurement and subsequent analysis, we found that starting and closing of containers in the Docker platform adds-up roughly 13 percent power consumption overhead during the boot-up and shutdown of the camera nodes. Furthermore, the fixed overhead occurring from boot-up and shutdown procedures become negligible with longer video stream sessions.

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Series: IEEE access
ISSN: 2169-3536
ISSN-E: 2169-3536
ISSN-L: 2169-3536
Volume: 6
Pages: 5090 - 5100
DOI: 10.1109/ACCESS.2017.2783447
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
113 Computer and information sciences
Funding: This work was supported by TEKES and by the European Celtic-Plus Project CONVINcE, which was partially funded by Finland, France, Sweden, and Turkey
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