Edge energy orchestration

Kumar, Vijay, Valizadeh, Nima, Petri, Ioan, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646, Nag, Ambarish, Zisman, Sagi, Tripp, Charles and Paul, Shuva 2025. Edge energy orchestration. Presented at: GECON 2024, Rome, Italy, 26-27 September 2024. Published in: Naldi, M., Djemame, K., Altmann, J. and Bañares, J.A. eds. Economics of Grids, Clouds, Systems, and Services. Lecture Notes in Computer Science , vol.15358 Cham, Switzerland: Springer, pp. 185-194. 10.1007/978-3-031-81226-2_17

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Abstract

Edge computing devices have increased in number and capability over recent years. The ability to process data and execute machine learning in proximity to data generation and collection sources provides several advantages over using cloud- based data centers. We describe an orchestration mechanism that enables edge devices to make more effective use of energy resources in their proximity – a technique we refer to as “edge energy orchestration”. A software “orchestrator” can take account of renewable generation to alter how task execution on edge devices is carried out. An application scenario is used to illustrate the use of the orchestrator in practice, followed by a discussion about how this approach can be generalized to a broader set of applications

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Schools > Computer Science & Informatics
Publisher:	Springer
ISBN:	978-3-031-81225-5
Funders:	EPSRC
Date of First Compliant Deposit:	21 February 2025
Date of Acceptance:	5 August 2024
Last Modified:	27 Feb 2025 17:00
URI:	https://orca.cardiff.ac.uk/id/eprint/176395

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