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A Genetic Algorithm for Load Balancing in Parallel Query Evaluation for Deductive Relational Data Bases

  • E. Alba
  • J. F. Aldana
  • J. M. Troya
Conference paper

Abstract

Datalog is a query language for deductive databases. This language allows to evaluate a query incrementally on a network of processes. The tuples flow among them in parallel in order to compute the solution to the query. A major issue in this evaluation is the problem of assigning the processes to processors in a multiprocessors system. Not only load balancing is wanted but lowering the communication costs among the processors is crucial. We have tackled this problem by using a GA that works on a specific fitness function that allows to meet these goals. The techniques and results are presented here.

Keywords

Genetic Algorithm Load Balance Logic Programming Query Language Task Allocation 
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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    Ceri, Gottlob and Tanca “Logic Programming and Databases”. Surveys in Computer Science. Springer Verlag. 1990.Google Scholar
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    Aldana “A Dataflow Model for Datalog Parallel Evaluation” Tech. Rep. Dpt Lenguajes y Ciencias de la Computación. Univ. of Málaga, 1993.Google Scholar
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    Mansour and Fox, “A Hybrid Genetic Algorithm for Task Allocation in Multicomputer”. ICGA-91, Morgan Kaufmann, 1991.Google Scholar
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    Bennet, Ferris and Ioannidis, “A Genetic Algorithm for Database Query Optimization”. ICGA-91, Morgan Kaufmann, 1991.Google Scholar

Copyright information

© Springer-Verlag/Wien 1995

Authors and Affiliations

  • E. Alba
    • 1
  • J. F. Aldana
    • 1
  • J. M. Troya
    • 1
  1. 1.Dpto. Lenguajes y Ciencias de la ComputaciónUniversidad de MálagaMálagaSpain

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