Correctness of Self-Stabilizing Algorithms Under the Dolev Model When Adapted to Composite Atomicity Models

  • Authors:
  • Chih-Yuan Chen;Cheng-Pin Wang;Tetz C. Huang;Ji-Cherng Lin

  • Affiliations:
  • Department of Computer Science and Information Engineering, Tao-yuan Innovation Institute of Technology, Chung-Li, Taiwan;General Education Center, Tzu Chi College of Technology, Hualien, Taiwan;Department of Computer Science and Engineering, Yuan-Ze University, Chung-Li, Taiwan;Department of Computer Science and Engineering, Yuan-Ze University, Chung-Li, Taiwan

  • Venue:
  • International Journal of Artificial Life Research
  • Year:
  • 2012

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Abstract

In this paper, the authors first clarify that it is not a trivial matter whether or not a self-stabilizing algorithm under the Dolev model, when adapted to a composite atomicity model, is also self-stabilizing. Then the authors employ a particular "simulation" approach to show that if a self-stabilizing algorithm under the Dolev model has one of two certain forms, then it is also self-stabilizing when adapted to one of the composite atomicity models, the fair daemon model. Since most existing self-stabilizing algorithms under the Dolev model have the above-mentioned forms, the authors' results imply that they are all self-stabilizing when adapted to the fair daemon model.