Abstract
In this paper we study resource allocation problems that involve multiple self-interested parties or players and a central decision maker. We introduce and study the price of fairness, which is the relative system efficiency loss under a “fair” allocation assuming that a fully efficient allocation is one that maximizes the sum of player utilities. We focus on two well-accepted, axiomatically justified notions of fairness, viz., proportional fairness and max-min fairness. For these notions we provide a tight characterization of the price of fairness for a broad family of problems.
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641
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- FWCI
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Authors
3Topics & keywords
Topics
Keywords
- Max-min fairness
- Resource allocation
- Fairness measure
- Mathematical economics
- Computer science
- Decision maker
- Characterization (materials science)
- Mathematical optimization
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