Alhindi, A. and Djemame, K. orcid.org/0000-0001-5811-5263 (Accepted: 2024) SDN Traffic Flows in a Serverless Environment: a Categorization of Energy Consumption. In: 17th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2024). 17th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2024), 16-19 Dec 2024, Sharjah, UAE. IEEE/ACM (In Press)
Abstract
The widespread adoption of Software Defined Networks (SDN) in Information and Communication Technology (ICT) sectors has positioned it as a crucial technology due to its flexibility and modularity, which results from shifting control from physical network devices to software controllers. However, this shift has led to several challenges, including increasing energy consumption. Serverless computing can effectively support SDN to address various issues, such as energy efficiency, yet lacks an energy-aware scheduling framework designed for such an environment. This research investigates the key factors influencing serverless energy consumption in SDN by examining the correlations between the energy usage of serverless applications and traffic flow patterns, as such correlations can play a critical role in developing an energy-aware scheduling framework. The findings reveal that several traffic patterns strongly or moderately impact energy consumption in serverless environment.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 IEEE. 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, Energy Efficiency, Software Defined Network, ONOS, Knative, Scheduling, Flow Management |
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) > Distributed Systems & Services |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Dec 2024 10:21 |
Last Modified: | 03 Mar 2025 09:23 |
Status: | In Press |
Publisher: | IEEE/ACM |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:221032 |