Energy Usage Profiling for Virtualized Single Board Computer Clusters

Sagkriotis, S. , Anagnostopoulos, C. and Pezaros, D. P. (2020) Energy Usage Profiling for Virtualized Single Board Computer Clusters. In: IEEE ISCC Symposium on Computers and Communications, Barcelona, Spain, 29 June - 03 July 2019, ISBN 9781728129990 (doi: 10.1109/ISCC47284.2019.8969611)

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Abstract

With Network Function Virtualization (NFV) platforms gaining ground, we question the combination of NFV and Single Board Computers (SBCs) in terms of compatibility, reliability, and energy consumption. A mini cluster of SBCs is used to develop a scalable and resilient energy monitoring application. The application is employed to discover the energy demands of a NFV platform in modern SBCs, and build the energy profile of the devices and the deployed services. We use the results and the added knowledge from building the application to strengthen the argument that SBC clusters can support virtualized service deployment. This evidence, alongside the rich gamut of characteristics that SBCs hold, proves that they are a viable option for edge components of a fog network. Our results show that running different virtualised processes offers added functionality, resilience and scalability without heavily sacrificing energy consumption.

Item Type:Conference Proceedings
Additional Information:This research has been supported in part by the UK Engineering and Physical Sciences Research Council (EPSRC) projects EP/R511936/1, EP/N033957/1, and EP/P004024/1; by BT (Voucher No. 17000117); by the Huawei Innovation Research Program (Grant No. 300952); by the European Cooperation in Science and Technology (COST) Action CA 15127: RECODIS – Resilient communication and services; and by the EU H2020 GNFUV Project RAWFIE-OC2-EXPSCI (Grant No. 645220) under the EC FIRE+ initiative.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Sagkriotis, Stefanos and Anagnostopoulos, Dr Christos and Pezaros, Professor Dimitrios
Authors: Sagkriotis, S., Anagnostopoulos, C., and Pezaros, D. P.
College/School:College of Science and Engineering
College of Science and Engineering > School of Computing Science
ISSN:2642-7389
ISBN:9781728129990
Copyright Holders:Copyright © 2019 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
709131Network Measurement as a Service (MaaS)Dimitrios PezarosEngineering and Physical Sciences Research Council (EPSRC)EP/N033957/1COM - COMPUTING SCIENCE
722161FRuIT: The Federated RaspberryPi Micro-Infrastructure TestbedJeremy SingerEngineering and Physical Sciences Research Council (EPSRC)EP/P004024/1COM - COMPUTING SCIENCE
300952HIRP 2017 - Distributed Intelligence for Network ControlDimitrios PezarosHuawei Technologies (CN) (HUAWE-CN)N/AComputing Science