NDLI: The Value of Fairness: Trade-offs in Repeated Dynamic Resource Allocation

Content Provider	IEEE Xplore Digital Library
Author	Kohler, T. Steghofer, J.-P. Busquets, D. Pitt, J.
Copyright Year	2014
Description	Author affiliation: Inst. f. Software & Syst. Eng., Augsburg Univ., Augsburg, Germany (Steghofer, J.-P.) \|\| Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK (Busquets, D.; Pitt, J.) \|\| IPVS - Distrib. Syst. Group, Univ. of Stuttgart, Stuttgart, Germany (Kohler, T.)
Abstract	Resource allocation problems are an important part of many distributed autonomous systems. In sensor networks, they determine which nodes get to use the communication links, in SmartGrid applications they decree which electric vehicle batteries are loaded, and in autonomous power management they select which generators produce the power required to satisfy the overall load. These cases have been considered in the literature before under the aspect of demand satisfaction: how well can distributed algorithms with local knowledge approximate the best allocation. A factor that has been ignored, however, is fairness: how fair is the resource allocation and -- in extension -- the distribution of revenue, wear, or recovery time. In this paper, we bring together previously disjoint approaches on dynamic distributed resource allocation and on fairness in electronic institutions. We show that fair allocations based on Ostrom's principles and on Rescher's canons of distributive justice create value in repeated resource allocations. We apply the scheme to solve the multi-objective problem of distributing load to generators fairly based on demands made by the individual generators. Our evaluation shows that a fair distribution increases satisfaction of the individual agents while reducing the hazard of optimising the problem in the short-term at the cost of long-term robustness and stability.
Starting Page	1
Ending Page	10
File Size	429798
Page Count	10
File Format	PDF
ISBN	9781479953677
DOI	10.1109/SASO.2014.12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Abstracts multi-agent system Dynamic scheduling distributive justice electronic institution interference Resource management Power generation self-organisation artificial intelligence
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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