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Self-Stabilizing Systems - 5th International Workshop, WSS 2001, Lisbon, Portugal, October 1-2, 2001 Proceedings (Paperback, 2001 ed.)
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Self-Stabilizing Systems - 5th International Workshop, WSS 2001, Lisbon, Portugal, October 1-2, 2001 Proceedings (Paperback, 2001 ed.)
Series: Lecture Notes in Computer Science, 2194
Expected to ship within 10 - 15 working days
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Physicalsystemswhichrightthemselvesafterbeingdisturbedevokeourcuriosity
becausewe wantto understand howsuchsystemsareableto reactto
unexpected stimuli. Themechanismsareallthe
morefascinatingwhensystemsarecomposed of small, simple units, and
the ability of the system to self-stabilize emerges out of its
components. Faithful computer simulations of such physical systems
exhibit the self-stabilizing property, but in the realm of
computing, particularly for distributed systems,
wehavegreaterambition. We imaginethat all manner of software,
ranging from basic communication protocols to high-level
applications, could enjoy self-corrective properties.
Self-stabilizing software o?ers a unique, non-traditional approach
to the c- cial problem of transient fault tolerance. Many
successful instances of modern fault-tolerant networks are based on
principles of self-stabilization. Surprisingly, the most widely
accepted technical de?nition of a self-stabilizing system does not
refer to faults: it is the property that the system can be started
in any i- tial state, possibly an "illegal state," and yet the
system guarantees to behave properly in ?nite time. This, and
similar de?nitions, break many traditional approaches to program
design, in which the programmer by habit makes - sumptions about
initial conditions. The composition of self-stabilizing systems,
initially seen as a daunting challenge, has been transformed into a
mana- able task, thanks to an accumulation of discoveries by many
investigators. - search on various topics in self-stabilization
continues to supply new methods for constructing self-stabilizing
systems, determines limits and applicability of the paradigm of
self-stabilization, and connects self-stabilization to related
areas of fault tolerance and distributed computing.
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