We present five axioms for fairness measures in resource allocation. A family of fairness measures satisfying the axioms is constructed. Special cases of this family include α-fairness, Jain's index, and entropy. Properties of fairness measures satisfying the axioms are proven, including Schur-concavity. Among the engineering implications is a generalized Jain's index that tunes the resolution of fairness measure, a new understanding of α-fair utility functions, and an interpretation of ``larger α is more fair''. We also construct an alternative set of axioms to capture system efficiency and feasibility constraints.
An Axiomatic Theory of Fairness in Network Resource Allocation
T. Lan,D. Kao,M. Chiang,A. Sabharwal
Published 2009 in 2010 Proceedings IEEE INFOCOM
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- Publication year
2009
- Venue
2010 Proceedings IEEE INFOCOM
- Publication date
2009-06-02
- Fields of study
Computer Science
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