A cloud computing based framework for general 2D and 3D cellular automata simulation

  • Authors:

  • Rodrigo Marques;Bruno Feijo;Karin Breitman;Thieberson Gomes;Laercio Ferracioli;Hélio Lopes

  • Affiliations:

  • Department of Informatics, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil;Department of Informatics, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil;Department of Informatics, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil;Department of Physics, Federal University of Espírito Santo, Vitória, ES, Brazil;Department of Physics, Federal University of Espírito Santo, Vitória, ES, Brazil;Department of Informatics, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil

  • Venue:
  • Advances in Engineering Software
  • Year:
  • 2013

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Abstract

Cellular automata can be applied to solve several problems in a variety of areas, such as biology, chemistry, medicine, physics, astronomy, economics, and urban planning. The automata are defined by simple rules that give rise to behavior of great complexity running on very large matrices. 2D applications may require more than 10^6x10^6 matrix cells, which are usually beyond the computational capacity of local clusters of computers. This paper presents a solution for traditional cellular automata simulations. We propose a scalable software framework, based on cloud computing technology, which is capable of dealing with very large matrices. The use of the framework facilitates the instrumentation of simulation experiments by non-computer experts, as it removes the burden related to the configuration of MapReduce jobs, so that researchers need only be concerned with their simulation algorithms.