We study the trade-off between the price of anarchy (PoA) and the price of
stability (PoS) in mechanism design in the prototypical problem of unrelated machine
scheduling. We give bounds on the space of feasible mechanisms with respect to these
metrics and observe that two fundamental mechanisms, namely the first price (FP) and
the second price (SP), lie on the two opposite extrema of this boundary. Furthermore,
for the natural class of anonymous task-independent mechanisms, we completely
characterize the PoA/PoS Pareto frontier; we design a class of optimal mechanisms
SPα that lie exactly on this frontier. In particular, these mechanisms range smoothly
with respect to parameter α ≥ 1 across the frontier, between the first price (SP1) and
second price (SP∞) mechanisms. En route to these results, we also provide a definitive
answer to an important question related to the scheduling problem, namely whether
nontruthful mechanisms can provide better makespan guarantees in the equilibrium
compared with truthful ones. We answer this question in the negative by proving that
the price of anarchy of all scheduling mechanisms is at least n, where n is the number
of machines.
Dettaglio pubblicazione
2021, MATHEMATICS OF OPERATIONS RESEARCH, Pages -
The Pareto Frontier of Inefficiency in Mechanism Design (01a Articolo in rivista)
Filos-Ratsikas Aris, Giannakopoulos Yiannis, Lazos Filippos
Gruppo di ricerca: Algorithms and Data Science
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