Search spaces for min-perturbation repair

  • Authors:
  • Alex S. Fukunaga

  • Affiliations:
  • Global Edge Institute, Tokyo Institute of Technology, Meguro, Tokyo, Japan

  • Venue:
  • CP'09 Proceedings of the 15th international conference on Principles and practice of constraint programming
  • Year:
  • 2009

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Abstract

Many problems require minimally perturbing an initial state in order to repair some violated constraints. We consider two search spaces for exactly solving this minimal perturbation repair problem: a standard, difference-based search space, and a new, commitment-based search space. Empirical results with exact search algorithms for a mincost virtual machine reassignment problem, a minimal perturbation repair problem related to server consolidation in data centers, show that the commitment-based search space can be significantly more efficient.