Parallel composition for time-to-fault adaptive stabilization

Shlomi Dolev, Ted Herman

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Self-stabilizing algorithms automatically recover from any occurrence of a transient fault. The global state following the transient fault is considered to be the initial state for subsequent execution. An adaptive self-stabilizing algorithm changes its behavior based on characteristics of the initial state. This paper presents an asynchronous, adaptive, self-stabilizing algorithm for any non-interactive task. The algorithm adapts its output stabilization time in relation to the extent of faulty information in the initial state. The paper's presentation emphasizes composition techniques that leverage several self-stabilizing components from previous research, resulting in a concise description of the algorithm.

Original languageEnglish
Pages (from-to)29-38
Number of pages10
JournalDistributed Computing
Issue number1
StatePublished - 1 Jul 2007


  • Adaptive stabilization
  • Automatic recovery
  • Self-stabilization


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