Generalized Measures of Fault Tolerance with Application to N-Cube Networks
IEEE Transactions on Computers
On Self-Diagnosable Multiprocessor Systems: Diagnosis by the Comparison Approach
IEEE Transactions on Computers
The Balanced Hypercube: A Cube-Based System for Fault-Tolerant Applications
IEEE Transactions on Computers
Diagnosability of Hypercubes and Enhanced Hypercubes under the Comparison Diagnosis Model
IEEE Transactions on Computers
Conditional Connectivity Measures for Large Multiprocessor Systems
IEEE Transactions on Computers
Conditional Diagnosability Measures for Large Multiprocessor Systems
IEEE Transactions on Computers
On conditional diagnosability of the folded hypercubes
Information Sciences: an International Journal
On conditional diagnosability and reliability of the BC networks
The Journal of Supercomputing
Conditional diagnosability of hypercubes under the comparison diagnosis model
Journal of Systems Architecture: the EUROMICRO Journal
Conditional diagnosability of alternating group networks
Information Processing Letters
Bipanconnectivity of balanced hypercubes
Computers & Mathematics with Applications
Diagnosability of Two-Matching Composition Networks under the MM{}^{\ast} Model
IEEE Transactions on Dependable and Secure Computing
IEEE Transactions on Parallel and Distributed Systems
Conditional Diagnosability of Augmented Cubes under the PMC Model
IEEE Transactions on Dependable and Secure Computing
The diagnosability of the matching composition network under the comparison diagnosis model
IEEE Transactions on Computers
Conditional Diagnosability of k-Ary n-Cubes under the PMC Model
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Conditional diagnosability of balanced hypercubes under the PMC model
Information Sciences: an International Journal
Conditional Diagnosability of Alternating Group Graphs
IEEE Transactions on Computers
The Conditional Diagnosability of k-Ary n-Cubes under the Comparison Diagnosis Model
IEEE Transactions on Computers
Strong Diagnosability and Conditional Diagnosability of Multiprocessor Systems and Folded Hypercubes
IEEE Transactions on Computers
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Fault diagnosis plays an important role in ensuring the reliability of a massive multiprocessor system. Diagnosability of a system is the maximum number of faulty nodes guaranteed to be identified during the diagnosis process, and thus is a critical metric to the reliability of the system. To have a greater number of identified faulty nodes, a new measure called conditional diagnosability for fault diagnosis was introduced, which has a normally used assumption. This paper addresses the conditional diagnosability of balanced hypercubes under the MM驴 model, which is a realistic model to the fault diagnosis of a system. We show that the conditional diagnosability of the n-dimensional balanced hypercube is 4n驴4 for n驴2.