Scheduling Energy-Aware Multi-Function Serverless Workloads in OpenFaaS

Chiorescu, R. and Djemame, K. orcid.org/0000-0001-5811-5263 (2025) Scheduling Energy-Aware Multi-Function Serverless Workloads in OpenFaaS. In: Economics of Grids, Clouds, Systems, and Services 20th International Conference, GECON 2024, Rome, Italy, September 26–27, 2024, Proceedings. 20th Conference on the Economics of Grids, Clouds, Software, and Services, 26-27 Sep 2024, Rome, Italy. Lecture Notes in Computer Science, 15358 . Springer , Cham, Switzerland , pp. 137-149. ISBN 978-3-031-81225-5

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Item Type: Proceedings Paper
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Copyright, Publisher and Additional Information:

© 2025 The Author(s). This is an author produced version of a conference paper published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Serverless computing, Power consumption, Kubernetes, Machine Learning
Dates:
  • Published: 6 February 2025
  • Published (online): 6 February 2025
  • Accepted: 30 July 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Distributed Systems & Services
Funding Information:
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EU - European Union
Not Known
Depositing User: Symplectic Publications
Date Deposited: 05 Sep 2024 10:13
Last Modified: 07 Mar 2025 09:00
Published Version: https://link.springer.com/chapter/10.1007/978-3-03...
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Identification Number: 10.1007/978-3-031-81226-2_13
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