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Safer Than Safe: On the Initial State of Self-stabilizing Systems

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Stabilization, Safety, and Security of Distributed Systems (SSS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5873))

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Abstract

A self-stabilizing algorithm [2] is a distributed algorithm with an additional property: it guarantees to eventually execute its task, by reaching a legitimate configuration, regardless of the state in which the processes and communication links are started.

Some algorithms are supposed to remain safe at all times while they carry out their task. Safety, however, is impossible when very high levels of failures overwhelm the system, e.g., when more than a third of the processes are Byzantine, or in the extreme case, when all the processes disappear.

A detailed version appears in a technical report [1].

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References

  1. Delaƫt, S., Dolev, S., Peres, O.: Safe and eventually safe: Comparing stabilizing and non-stabilizing algorithms on a common ground. Technical Report 0905, Ben-Gurion University of the Negev (August 2009)

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  2. Dolev, S.: Self-Stabilization. MIT Press, Cambridge (2000)

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Ā© 2009 Springer-Verlag Berlin Heidelberg

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Delaƫt, S., Dolev, S., Peres, O. (2009). Safer Than Safe: On the Initial State of Self-stabilizing Systems. In: Guerraoui, R., Petit, F. (eds) Stabilization, Safety, and Security of Distributed Systems. SSS 2009. Lecture Notes in Computer Science, vol 5873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05118-0_55

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  • DOI: https://doi.org/10.1007/978-3-642-05118-0_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05117-3

  • Online ISBN: 978-3-642-05118-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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