Job Scheduling Strategies for Parallel Processing 12th International
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Eitan Frachtenberg Uwe Schwiegelshohn (Eds.)
Job Scheduling Strategies for Parallel Processing 12th International Workshop, JSSPP 2006 Saint-Malo, France, June 26, 2006 Revised Selected Papers
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Volume Editors Eitan Frachtenberg Los Alamos National Laboratory Computer and Computational Sciences Division, Los Alamos, NM 87545, USA E-mail: [email protected] Uwe Schwiegelshohn University of Dortmund Robotics Research Institute (IRF-IT), 44221 Dortmund, Germany E-mail: [email protected]
Library of Congress Control Number: 2007920905 CR Subject Classification (1998): D.4, D.1.3, F.2.2, C.1.2, B.2.1, B.6, F.1.2 LNCS Sublibrary: SL 1 – Theoretical Computer Science and General Issues ISSN ISBN-10 ISBN-13
0302-9743 3-540-71034-5 Springer Berlin Heidelberg New York 978-3-540-71034-9 Springer Berlin Heidelberg New York
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Preface
This volume contains the papers presented at the 12th workshop on Job Scheduling Strategies for Parallel Processing. The workshop was held in Saint-Malo, France, on June 16, 2006, in conjunction with SIGMETRICS 2006. This year, the presented papers covered a large variety of topics. The first three papers address workflow problems. “Provably efficient two-level adaptive scheduling” by Yuxiong He et al. provides a theoretical analysis of a scheduling approach for independent jobs consisting of threads, tha
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