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Mechanisms for Scheduling with Single-Bit Private Values

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Algorithmic Game Theory (SAGT 2012)
Mechanisms for Scheduling with Single-Bit Private Values
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  • Vincenzo Auletta17,
  • George Christodoulou18 &
  • Paolo Penna17 

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7615))

Included in the following conference series:

  • International Symposium on Algorithmic Game Theory
  • 1412 Accesses

  • 1 Citation

Abstract

We consider randomized mechanisms for multi-dimensional scheduling. Following Lavi and Swamy [10], we study a setting with restrictions on the domain, while still preserving multi-dimensionality. In a sense, our setting is the simplest multi-dimensional setting, where each machine holds privately only a single-bit of information.

We prove a separation between truthful-in-expectation and universally truthful mechanisms for makespan minimization: We first show how to design an optimal truthful-in-expectation mechanism, and then prove lower bounds on the approximation guarantee of universally truthful mechanisms.

Research partially supported by the PRIN 2008 research project COGENT (COmputational and GamE-theoretic aspects of uncoordinated NeTworks), funded by the Italian Ministry of University and Research.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Università di Salerno, Italy

    Vincenzo Auletta & Paolo Penna

  2. Computer Science Department, University of Liverpool, United Kingdom

    George Christodoulou

Authors
  1. Vincenzo Auletta
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  2. George Christodoulou
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  3. Paolo Penna
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Editor information

Editors and Affiliations

  1. Department de Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, ALBCOM, Jordi Girona 1-3, 08034, Barcelona,, Spain

    Maria Serna

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Auletta, V., Christodoulou, G., Penna, P. (2012). Mechanisms for Scheduling with Single-Bit Private Values. In: Serna, M. (eds) Algorithmic Game Theory. SAGT 2012. Lecture Notes in Computer Science, vol 7615. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33996-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-33996-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33995-0

  • Online ISBN: 978-3-642-33996-7

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Keywords

  • Approximation Factor
  • Deterministic Algorithm
  • Schedule Mechanism
  • Approximation Guarantee
  • Input Domain

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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