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Design of Real-Time Computer-Based Systems Using Developmental Genetic Programming

  • Stanisław DeniziakEmail author
  • Leszek Ciopiński
  • Grzegorz Pawiński

Abstract

This chapter presents applications of the developmental genetic programming (DGP) to design and optimize real-time computer-based systems. We show that the DGP approach may be efficiently used to solve the following problems: scheduling of real-time tasks in multiprocessor systems, hardware/software codesign of distributed embedded systems, budget-aware real-time cloud computing. The goal of optimization is to minimize the cost of the system, while all real-time constraints will be satisfied. Since the finding of the best solution is very complex, only efficient heuristics may be applied for real-life systems. Unlike the other genetic approaches where chromosomes represent solutions, in the DGP chromosomes represent system construction procedures. Thus, not the system architecture, but the synthesis process evolves. Finally, a tree describing the construction of a (sub-)optimal solution is obtained and the genotype-to-phenotype mapping is applied to create the target system. Some other ideas concerning other applications of the DGP for optimization of computer-based systems also are outlined.

Keywords

Cloud Computing Embed System Task Assignment Task Schedule Task Graph 
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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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Stanisław Deniziak
    • 1
    Email author
  • Leszek Ciopiński
    • 1
  • Grzegorz Pawiński
    • 1
  1. 1.Kielce University of TechnologyKielcePoland

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