2010•International Journal of Artificial Life ResearchRequires access

The Worst-Case Stabilization Time of a Self-Stabilizing Algorithm under the Weakly Fair Daemon Model

Tetz C. Huang, Ji-Cherng Lin, Chih‐Yuan Chen, Cheng-Pin Wang

Open publisher page 3 citations

Abstract

In this paper, the result of any self-stabilizing algorithm under the weakly fair daemon model (for a particular problem) that is not self-stabilizing under the non-fair central daemon model is obtained. Also, if any safe configuration under the weakly fair daemon model is also a safe configuration under the non-fair central daemon model, the worst-case stabilization time, measured in steps, is infinity. The implication of this new finding is that any problem, the existence of self-stabilizing algorithms for the weakly fair daemon model only, is unsatisfactory, that is of significance to pursue self-stabilizing algorithms for the non-fair central daemon model.

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What this paper is about

In this paper, the result of any self-stabilizing algorithm under the weakly fair daemon model (for a particular problem) that is not self-stabilizing under the non-fair central daemon model is obtained. Also, if any safe configuration under the weakly fair daemon model is also a safe configuration under the non-fair central daemon model, the worst-case stabilization time, measured in steps, is infinity. The implication of this new finding is that any problem, the existence of self-stabilizing algorithms for the weakly fair daemon model only, is unsatisfactory, that is of significance to pursue self-stabilizing algorithms for the non-fair central daemon model.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, the result of any self-stabilizing algorithm under the weakly fair daemon model (for a particular problem) that is not self-stabilizing under the non-fair central daemon model is obtained. Also, if any safe configuration under the weakly fair daemon model is also a safe configuration under the non-fair central daemon model, the worst-case stabilization time, measured in steps, is infinity. The implication of this new finding is that any problem, the existence of self-stabilizing algorithms for the weakly fair daemon model only, is unsatisfactory, that is of significance to pursue self-stabilizing algorithms for the non-fair central daemon model.

Key concepts: Daemon, Computer science, Algorithm, Computer network

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