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Scheduling Multiprocessor Tasks with Correlated Failures Using Population Learning Algorithm

  • Piotr Jędrzejowicz
  • Ewa Ratajczak
Conference paper

Abstract

The paper considers a problem of scheduling multiprocessor tasks with correlated failures to maximize schedule reliability under time constraints. Since the problem is NP-hard the approximation algorithms based on a population learning algorithm are proposed.

Keywords

Local Search Tabu Search Multiple Processor Redundant Variant Variant Software 
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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References

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    J. Błażewicz, K.H. Ecker, E. Pesch, G. Schmidt, J. Węglarz, Scheduling Computer and Manufacturing Processes, Springer, Berlin 1996.Google Scholar
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    I. Czarnowski, P. Jędrzejowicz, E. Ratajczak, Scheduling Fault-Tolerant Programs on Multiple Processors to Maximize Schedule Reliability, Lecture Notes in Computer Science 1698, Springer (1999), pp. 385–395.Google Scholar
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    P. Jędrzejowicz, I. Czarnowski, H. Szreder, A. Skakowski, Evolution-Based Scheduling of Fault-Tolerant Programs on Multiple Processors, Parallel and Distributed Processing, Lecture Notes in Computer Science 1586, Springer (1999), pp. 210–219.CrossRefGoogle Scholar
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    P. Jędrzejowicz, Social Learning Algorithm as a Tool for Solving Some Difficult Scheduling Problems, Foundation of Computing and Decision Sciences 24, 2 (1999), pp. 51–66.MATHGoogle Scholar
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    I. Czarnowski, W.J. Gutjahr, P. Jędrzejowicz, E. Ratajczak, A. Skakowski, I. Wierzbowska, Scheduling multiprocessor tasks in presence of the correlated failures, Procedings of the 2nd Intl. Workshop on Soft Computing Applied to Software Engineering, Rotterdam 2001, (Accepted paper).Google Scholar

Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Piotr Jędrzejowicz
  • Ewa Ratajczak
    • 1
  1. 1.Gdynia Maritime AcademyGdyniaPoland

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