Fault detection and diagnosis in multiprocessor systems
Thesis/Dissertation
·
OSTI ID:7043088
A hierarchical approach to multiprocessor system fault tolerance is presented there. This scheme consists of employing concurrent error detection at the processor level while utilizing multiprocessor system testing and diagnosis at the system level. In this manner, errors that are not caused by serious fault conditions are detected and recovered at the processor level, while the more serious faults are detected and diagnosed at the system level. In the concurrent-error-detection area, a technique known as the data-block capture and analysis monitoring process is presented. This process consists of first capturing a sequence of signals forming a block of data from a system and then analyzing the data block for the presence of fault symptoms. At the system level, the problems of detection and diagnosis of faulty processors are considered under a new uniformly probabilistic model. This work focuses on minimizing the number of tests that must be conducted in order to correctly diagnose the state of every processor in the system with high probability.
- Research Organization:
- Johns Hopkins Univ., Baltimore, MD (USA)
- OSTI ID:
- 7043088
- Country of Publication:
- United States
- Language:
- English
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