Self-Stabilizing Systems

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Self-Stabilizing Systems is written by Sukumar Ghosh and published by McGill-Queen's Press - MQUP. It's available with International Standard Book Number or ISBN identification 0773591141 (ISBN 10) and 9780773591141 (ISBN 13).

Self- governing control is a defining characteristic of autonomous computing machinery. Autonomy implies some degree of independence, and when a system's ability to achieve its mission is independent of how it is initialized, the system is self-stabilizing. Application of self-stabilization to system and network components is motivated by core concerns of fault-tolerance in distributed systems. Self-stabilization is a solution to problems of transient memory faults and systems with dynamic reconfigurations. Research in self-stabilization explores many of the classic themes of distributed computing (distributed graph algorithms, mutual exclusion, distributed agreement). Recent papers combine self-stabilization with traditional forms of fault-tolerance, consider methodological issues for the design of self-stabilizing systems, investigate randomized techniques, and apply stabilization to new networking models. The workshop brings together concerns from theory and practice of self-stabilization.