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- Title
Conditional Diagnosability of Augmented Cubes under the PMC Model.
- Authors
Chang, Nai-Wen; Hsieh, Sun-Yuan
- Abstract
Processor fault diagnosis has played an important role in measuring the reliability of a multiprocessor system, and the diagnosability of many well-known multiprocessor systems has been widely investigated. The conditional diagnosability is a novel measure of diagnosability by adding an additional condition that any faulty set cannot contain all the neighbors of any node in a system. In this paper, we evaluate the conditional diagnosability for augmented cubes under the PMC model. We show that the conditional diagnosability of an n-dimensional augmented cube is 8n-27 for n\ge 5.
- Subjects
MACRO processors; COMPUTERS; ENGINEERING; CYBERNETICS; ELECTRONIC equipment
- Publication
IEEE Transactions on Dependable & Secure Computing, 2012, Vol 9, Issue 1, p46
- ISSN
1545-5971
- Publication type
Article
- DOI
10.1109/TDSC.2010.59