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Fairness and Incentive Considerations in Energy Apportionment Policies
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. (Real-time Systems Laboratory)
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. (Real-time Systems Laboratory)ORCID iD: 0000-0002-1485-0802
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. (Real-time Systems Laboratory)ORCID iD: 0000-0003-1916-3398
2016 (English)In: ACM Transactions on Modeling and Performance Evaluation of Computing Systems, ISSN 2376-3639, Vol. 2, no 1Article in journal (Refereed) Published
Abstract [en]

The energy consumption of a system is determined by the system component usage patterns and interactions between the coexisting entities and resources. Energy accounting plays an essential role in revealing the contribution of each entity to the total consumption and for energy management. Unfortunately, energy accounting inherits the apportionment problem of accounting in general, which does not have a general single best solution. In this article, we leverage cooperative game theory, which is commonly used in cost allocation problems to study the energy apportionment problem, that is, the problem of prescribing the actual energy consumption of a system to the consuming entities (e.g., applications, processes, or users of the system).

We identify five relevant fairness properties for energy apportionment and present a detailed categorisation and analysis of eight previously proposed energy apportionment policies from different fields in computer and communication systems. In addition, we propose two novel energy apportionment policies based on cooperative game theory that provide strong fairness notion and a rich incentive structure. Our comparative analysis in terms of the identified five fairness properties as well as information requirement and computational complexity shows that there is a tradeoff between fairness and the other evaluation criteria. We provide guidelines to select an energy apportionment policy depending on the purpose of the apportionment and the characteristics of the system.

Place, publisher, year, edition, pages
ACM Press, 2016. Vol. 2, no 1
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-134269DOI: 10.1145/2970816OAI: oai:DiVA.org:liu-134269DiVA, id: diva2:1287510
Available from: 2019-02-11 Created: 2019-02-11 Last updated: 2019-02-20Bibliographically approved

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Vergara, Ekhiotz JonNadjm-Tehrani, SiminAsplund, Mikael

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  • apa
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