Fairness criteria for allocating scarce resources
Fairness criteria for allocating scarce resources
We develop an optimization model to provide a fair allocation of multiple resources to multiple users. All resources might not be suitable to all users. We develop a notion of fairness, and then provide a general class of functions achieving it. Next, we develop more restricted notions of fairness—special cases of which exist in literature. Finally, we distinguish between scarce and abundant resources, and show that if a resource is abundant, all users seeking it achieve the maximum possible coverage.
1533–1541
Singh, Bismark
9d3fc6cb-f55e-4562-9d5f-42f9a3ddd9a1
1 May 2020
Singh, Bismark
9d3fc6cb-f55e-4562-9d5f-42f9a3ddd9a1
Abstract
We develop an optimization model to provide a fair allocation of multiple resources to multiple users. All resources might not be suitable to all users. We develop a notion of fairness, and then provide a general class of functions achieving it. Next, we develop more restricted notions of fairness—special cases of which exist in literature. Finally, we distinguish between scarce and abundant resources, and show that if a resource is abundant, all users seeking it achieve the maximum possible coverage.
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s11590-020-01568-1
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Accepted/In Press date: 4 March 2020
e-pub ahead of print date: 13 March 2020
Published date: 1 May 2020
Identifiers
Local EPrints ID: 471314
URI: http://eprints.soton.ac.uk/id/eprint/471314
ISSN: 1862-4480
PURE UUID: 5887d1d6-9bd0-4719-9164-419bc9bd6869
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Date deposited: 02 Nov 2022 17:47
Last modified: 17 Mar 2024 04:16
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Author:
Bismark Singh
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