Alhindi, A, Djemame, K orcid.org/0000-0001-5811-5263 and Banaie Heravan, F (2023) On the Power Consumption of Serverless Functions: An Evaluation of OpenFaaS. In: 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC). 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), 06-09 Dec 2022, Vancouver, Washington, USA. IEEE , pp. 366-371. ISBN 978-1-6654-6087-3
Abstract
The rapid growth in cloud-based technologies has introduced the need for very large data centres to meet the increasing demand for cloud services. One of the main challenges in managing these data centres is the sharp increase of power consumption. Research has therefore tackled the issue of power/energy efficiency in cloud data centres. Serverless computing is a cloud computing execution model that gives software developers the option to deploy their code without the need to configure servers, operating systems or runtime libraries, thus allowing them to invest less effort and capital in infrastructure management. This paper investigates whether serverless computing has the ability to support power efficiency. To this aim, a number of experiments are conducted to compare the power consumption of a serverless platform, OpenFaaS, against Docker containers with the consideration of applications and benchmarks. The experimental results show that OpenFaaS is more power efficient than Docker when the processor and memory are under stress.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 Crown. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Serverless , Power Efficiency , OpenFaaS , Docker , Container , Power Consumption |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EU - European Union Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Dec 2022 14:19 |
Last Modified: | 19 Apr 2023 05:13 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/UCC56403.2022.00064 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:193714 |