The Comparison Approach to Multiprocessor Fault Diagnosis
IEEE Transactions on Computers
Almost sure fault tolerance in random graphs
SIAM Journal on Computing
Fault detection and diagnosis in multiprocessor systems
Fault detection and diagnosis in multiprocessor systems
Cooperative decision-based fault diagnosis
Cooperative decision-based fault diagnosis
Probabilistic diagnosis of multiprocessor systems
ACM Computing Surveys (CSUR)
A Distributed System-Level Diagnosis Algorithm for Arbitrary Network Topologies
IEEE Transactions on Computers - Special issue on fault-tolerant computing
IEEE Transactions on Parallel and Distributed Systems
Diagnosis of Parallel Computers with Arbitrary Connectivity
IEEE Transactions on Computers
Correct and Almost Complete Diagnosis of Processor Grids
IEEE Transactions on Computers
Optimal and Efficient Probabilistic Distributed Diagnosis Schemes
IEEE Transactions on Computers
Almost Certain Fault Diagnosis Through Algorithm-Based Fault Tolerance
IEEE Transactions on Parallel and Distributed Systems
Distributed Diagnosis in Dynamic Fault Environments
IEEE Transactions on Parallel and Distributed Systems
International Journal of Parallel, Emergent and Distributed Systems
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A practical model for probabilistic fault diagnosis is presented. Unlike PMC-based models, the model allows testers to conduct multiple tests on the same processor. This allows the design of efficient probabilistic diagnosis algorithms with good asymptotic behavior, with minimal constraints on the connection structure of the multiprocessor system, in contrast to other deterministic and probabilistic approaches. In practical cases, the number of immediate neighbors of any processor need be no greater than two, which implies that the algorithm can be applied to any practical homogeneous parallel architecture. It is also shown how to make efficient use of tests by allowing the number of testing processors, and the number of tests performed by a processor to be traded off in achieving asymptotically accurate diagnosis.