Improvement of the Embarrassingly Parallel Search for Data Centers

  • Jean-Charles Régin
  • Mohamed Rezgui
  • Arnaud Malapert
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8656)


We propose an adaptation of the Embarrassingly Parallel Search (EPS) method for data centers. EPS is a simple but efficient method for parallel solving of CSPs. EPS decomposes the problem in many distinct subproblems which are then solved independently by workers. EPS performed well on multi-cores machines (40), but some issues arise when using more cores in a datacenter. Here, we identify the decomposition as the cause of the degradation and propose a parallel decomposition to address this issue. Thanks to it, EPS gives almost linear speedup and outperforms work stealing by orders of magnitude using the Gecode solver.


Data Center Resolution Time Constraint Programming Initial Problem Decomposition Algorithm 
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 2014

Authors and Affiliations

  • Jean-Charles Régin
    • 1
  • Mohamed Rezgui
    • 1
  • Arnaud Malapert
    • 1
  1. 1.Univ. Nice Sophia Antipolis, CNRS, I3S, UMR 7271Sophia AntipolisFrance

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