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Conference Papers Year : 2023

Enabling Long-term Fairness in Dynamic Resource Allocation

Tareq Si Salem
Georgios Iosifidis
Giovanni Neglia

Abstract

We study the fairness of dynamic resource allocation problem under the α-fairness criterion. We recognize two different fairness objectives that naturally arise in this problem: the well-understood slot-fairness objective that aims to ensure fairness at every timeslot, and the less explored horizon-fairness objective that aims to ensure fairness across utilities accumulated over a time horizon. We argue that horizon-fairness comes at a lower price in terms of social welfare. We study horizon-fairness with the regret as a performance metric and show that vanishing regret cannot be achieved in presence of an unrestricted adversary. We propose restrictions on the adversary's capabilities corresponding to realistic scenarios and an online policy that indeed guarantees vanishing regret under these restrictions.
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hal-04386354 , version 1 (10-01-2024)

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Tareq Si Salem, Georgios Iosifidis, Giovanni Neglia. Enabling Long-term Fairness in Dynamic Resource Allocation. 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, Jun 2023, Orlando (FL), United States. ⟨10.1145/3578338.3593541⟩. ⟨hal-04386354⟩
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