2018
DOI: 10.48550/arxiv.1807.01343
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Utility Design for Distributed Resource Allocation -- Part II: Applications to Submodular, Covering, and Supermodular Problems

Abstract: A fundamental component of the game theoretic approach to distributed control is the design of local utility functions. In Part I of this work we showed how to systematically design local utilities so as to maximize the induced worst case performance. The purpose of the present manuscript is to specialize the general results obtained in Part I to a class of monotone submodular, supermodular and set covering problems. In the case of set covering problems, we show how any distributed algorithm capable of computi… Show more

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Cited by 3 publications
(8 citation statements)
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“…Furthermore, no set of local objective functions can perform better. These results have also been extended to resource allocation games in [11].…”
Section: Introductionmentioning
confidence: 88%
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“…Furthermore, no set of local objective functions can perform better. These results have also been extended to resource allocation games in [11].…”
Section: Introductionmentioning
confidence: 88%
“…The price of anarchy is a well established metric, with a number of results on its characterization, complexity, and design [11]. We frame price of anarchy as a backdrop to many of our results, where Nash equilibria are the set of end states following a k-best response round in the limit as k → ∞.…”
Section: B Price Of Best Response and Price Of Anarchymentioning
confidence: 98%
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“…All the proofs are reported in the Appendix (Section 11.4). The results presented in this chapter have been published in [PCM18;PM18b].…”
Section: Submodular Supermodular Covering Problemsmentioning
confidence: 99%
“…We provide thorough simulation results and show the theoretical and numerical advantages of our approach. The results presented in this chapter have been published in [PM18b].…”
Section: Proof Of Corollarymentioning
confidence: 99%