Abstract
A local stabilizer algorithm that takes any on-line or offline distributed algorithm and converts it into a synchronous self-stabilizing algorithm, with local monitoring and repairing properties is presented. The expected computation time loss complexity measure is proposed to measure the average time in which the computation is paused in any node during recovery. In calculating the expected computational time loss, it is assumed that a transient fault changes the state of a processor to every possible state with equal probability.
Original language | English |
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Pages | 287 |
Number of pages | 1 |
DOIs | |
State | Published - 1 Jan 1997 |
Externally published | Yes |
Event | Proceedings of the 1997 16th Annual ACM Symposium on Principles of Distributed Computing - Santa Barbara, CA, USA Duration: 21 Aug 1997 → 24 Aug 1997 |
Conference
Conference | Proceedings of the 1997 16th Annual ACM Symposium on Principles of Distributed Computing |
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City | Santa Barbara, CA, USA |
Period | 21/08/97 → 24/08/97 |
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Networks and Communications