Decentralization and mechanism design for online machine scheduling

Lars Arge (Editor), Birgit Heydenreich, Rudolf Müller, Rusins Freivalds (Editor), Marc Jochen Uetz

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15 Citations (Scopus)
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We study the online version of the classical parallel machine scheduling problem to minimize the total weighted completion time from a new perspective: We assume that the data of each job, namely its release date $r_j$, its processing time $p_j$ and its weight $w_j$ is only known to the job itself, but not to the system. Furthermore, we assume a decentralized setting where jobs choose the machine on which they want to be processed themselves. We study this problem from the perspective of algorithmic mechanism design. We introduce the concept of a myopic best response equilibrium, a concept weaker than the dominant strategy equilibrium, but appropriate for online problems. We present a polynomial time, online scheduling mechanism that, assuming rational behavior of jobs, results in an equilibrium schedule that is 3.281-competitive. The mechanism deploys an online payment scheme that induces rational jobs to truthfully report their private data. We also show that the underlying local scheduling policy cannot be extended to a mechanism where truthful reports constitute a dominant strategy equilibrium.
Original languageUndefined
Number of pages12
Publication statusPublished - Jun 2006
Event10th Scandinavian Workshop on Algorithm Theory, SWAT 2006 - Riga, Latvia
Duration: 6 Jul 20068 Jul 2006
Conference number: 10


Conference10th Scandinavian Workshop on Algorithm Theory, SWAT 2006
Abbreviated titleSWAT 2006


  • IR-62214
  • EWI-12117

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