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Formal models for the energy-aware cloud-edge computing continuum: analysis and challenges
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-9322-2160
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2023 (English)In: 2023 IEEE international conference on service-oriented system engineering (SOSE): proceedings / [ed] Lisa O'Conner, IEEE, 2023, p. 48-59Conference paper, Published paper (Refereed)
Abstract [en]

Cloud infrastructures are rapidly evolving from centralised systems to geographically distributed federations of edge devices, fog nodes, and clouds. These federations (often referred to as the Cloud-Edge Continuum) are the foundation upon which most modern digital systems depend, and consume enormous amounts of energy. This consumption is becoming a critical issue as society's energy challenges grow, and is a great concern for power grids which must balance the needs of clouds against other users. The Continuum is highly dynamic, mobile, and complex; new methods to improve energy efficiency must be based on formal scientific models that identify and take into account a huge range of heterogeneous components, interactions, stochastic properties, and (potentially contradictory) service-level agreements and stakeholder objectives. Currently, few formal models of federated Cloud-Edge systems exist - and none adequately represent and integrate energy considerations (e.g. multiple providers, renewable energy sources, pricing, and the need to balance consumption over large-areas with other non-Cloud consumers, etc.). This paper conducts a systematic analysis of current approaches to modelling Cloud, Cloud-Edge, and federated Continuum systems with an emphasis on the integration of energy considerations. We identify key omissions in the literature, and propose an initial high-level architecture and approach to begin addressing these - with the ultimate goal to develop a set of integrated models that include data centres, edge devices, fog nodes, energy providers, software workloads, end users, and stakeholder requirements and objectives. We conclude by highlighting the key research challenges that must be addressed to enable meaningful energy-aware Cloud-Edge Continuum modelling and simulation.

Place, publisher, year, edition, pages
IEEE, 2023. p. 48-59
Series
IEEE International Symposium on Service-Oriented System Engineering, ISSN 2640-8228, E-ISSN 2642-6587
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-214709DOI: 10.1109/SOSE58276.2023.00012Scopus ID: 2-s2.0-85174930280ISBN: 979-8-3503-2239-2 (electronic)ISBN: 979-8-3503-2240-8 (print)OAI: oai:DiVA.org:umu-214709DiVA, id: diva2:1800149
Conference
2023 IEEE International Conference on Service-Oriented System Engineering (SOSE), Athens, Greece, July 17-20, 2023
Funder
The Kempe FoundationsEU, Horizon EuropeEU, Horizon 2020Available from: 2023-09-25 Created: 2023-09-25 Last updated: 2023-11-02Bibliographically approved

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The full text will be freely available from 2025-09-26 06:59
Available from 2025-09-26 06:59

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Patel, Yashwant SinghTownend, PaulÖstberg, Per-Olov

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CiteExportLink to record
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Citation style
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