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Mechanism Design for Aggregating Energy Consumption and Quality of Service in Speed Scaling Scheduling

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Web and Internet Economics (WINE 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8289))

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Abstract

We consider a strategic game, where players submit jobs to a machine that executes all jobs in a way that minimizes energy while respecting the jobs’ deadlines. The energy consumption is then charged to the players in some way. Each player wants to minimize the sum of that charge and of their job’s deadline multiplied by a priority weight. Two charging schemes are studied, the proportional cost share which does not always admit pure Nash equilibria, and the marginal cost share, which does always admit pure Nash equilibria, at the price of overcharging by a constant factor.

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Author information

Authors and Affiliations

  1. CNRS, LIP6, Université Pierre et Marie Curie, Paris, France

    Christoph Dürr

  2. Institute of Computer Science, University of Wrocław, Poland

    Łukasz Jeż

  3. DIAG, Sapienza University of Rome, Italy

    Łukasz Jeż

  4. LIP6 and Industrial Engineering Department, University of Santiago of Chile, Chile

    Óscar C. Vásquez

Authors
  1. Christoph Dürr
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  2. Łukasz Jeż
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  3. Óscar C. Vásquez
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Editor information

Editors and Affiliations

  1. Harvard University, Cambridge, MA, USA

    Yiling Chen

  2. Microsoft Research, Cambridge, MA, USA

    Nicole Immorlica

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Dürr, C., Jeż, Ł., Vásquez, Ó.C. (2013). Mechanism Design for Aggregating Energy Consumption and Quality of Service in Speed Scaling Scheduling. In: Chen, Y., Immorlica, N. (eds) Web and Internet Economics. WINE 2013. Lecture Notes in Computer Science, vol 8289. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45046-4_12

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  • DOI: https://doi.org/10.1007/978-3-642-45046-4_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45045-7

  • Online ISBN: 978-3-642-45046-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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