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Error Estimate and Fairness in Resource Allocation with Inaccurate Information Sharing

Fossati, Francesca; Medhi, Deep; Moretti, Stefano; Secci, Stefano (2019), Error Estimate and Fairness in Resource Allocation with Inaccurate Information Sharing, IEEE Networking Letters, 1, 4, p. 173-177. 10.1109/LNET.2019.2946466

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Type
Article accepté pour publication ou publié
Date
2019
Journal name
IEEE Networking Letters
Volume
1
Number
4
Pages
173-177
Publication identifier
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Author(s)
Fossati, Francesca cc
Laboratoire d'Informatique de Paris 6 [LIP6]
Medhi, Deep
University of Missouri-Kansas City
Moretti, Stefano cc
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Secci, Stefano cc
Centre d'études et de recherche en informatique et communications [CEDRIC]
Abstract (EN)
In resource allocation systems, inaccurate information sharing situations are such that users can be aware, up to a small error, about the other users’ demands and the available global resource (which can be insufficient to meet the overall demand). Consequently, given an allocation rule, users can predict an allocation that will not necessarily coincide with the actual one. In this letter, we provide an estimation of the error for a number of allocation rules and compare their robustness in inaccurate information sharing settings.
Subjects / Keywords
Resource allocation; inaccurate information; fairness