Dynamic resource allocation games

Guy Avni, Thomas A. Henzinger, Orna Kupferman

Research output: Contribution to journalArticlepeer-review


In resource allocation games, selfish players share resources that are needed in order to fulfill their objectives. The cost of using a resource depends on the load on it. In the traditional setting, the players make their choices concurrently and in one-shot. That is, a strategy for a player is a subset of the resources. We introduce and study dynamic resource allocation games. In this setting, the game proceeds in phases. In each phase each player chooses one resource. A scheduler dictates the order in which the players proceed in a phase, possibly scheduling several players to proceed concurrently. The game ends when each player has collected a set of resources that fulfills his objective. The cost for each player then depends on this set as well as on the load on the resources in it – we consider both congestion and cost-sharing games. We argue that the dynamic setting is the suitable setting for many applications in practice. We study the stability of dynamic resource allocation games, where the appropriate notion of stability is that of subgame perfect equilibrium, study the inefficiency incurred due to selfish behavior, and also study problems that are particular to the dynamic setting, like constraints on the order in which resources can be chosen or the problem of finding a scheduler that achieves stability.

Original languageEnglish
Pages (from-to)42-55
Number of pages14
JournalTheoretical Computer Science
StatePublished - 6 Feb 2020
Externally publishedYes

Bibliographical note

Funding Information:
A preliminary version of this paper appeared in the proceedings of the 9th International Symposium Algorithmic Game Theory, pages 153?166, LNCS 9928, Springer, 2016. This research was supported in part by the Austrian Science Fund (FWF) under grants S11402-N23 (RiSE/SHiNE), Z211-N23 (Wittgenstein Award), and M2369-N33 (Meitner fellowship).

Publisher Copyright:
© 2019 Elsevier B.V.


  • Congestion games
  • Cost-sharing games
  • Dynamic games
  • Resource allocation games
  • Subgame-perfect equilibrium

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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  • Dynamic resource allocation games

    Avni, G., Henzinger, T. A. & Kupferman, O., 2016, Algorithmic Game Theory - 9th International Symposium, SAGT 2016, Proceedings. Gairing, M. & Savani, R. (eds.). Springer Verlag, p. 153-166 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9928 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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