%0 Conference Proceedings
%T Conditional Diagnosability of Complete Josephus Cubes
%+ School of Mathematics and Computer Science [Fujian]
%+ Key Laboratory of Network Security and Cryptology
%A Lu, Lishan
%A Zhou, Shuming
%Z Part 3: Session 3: Parallel Architectures
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 10th International Conference on Network and Parallel Computing (NPC)
%C Guiyang, China
%Y Ching-Hsien Hsu
%Y Xiaoming Li
%Y Xuanhua Shi
%Y Ran Zheng
%I Springer
%3 Network and Parallel Computing
%V LNCS-8147
%P 220-231
%8 2013-09-19
%D 2013
%R 10.1007/978-3-642-40820-5_19
%K Comparison diagnosis
%K conditional diagnosability
%K Complete Josephus Cubes
%Z Computer Science [cs]Conference papers
%X The growing size of the multiprocessor system increases its vulnerability to component failures. The fault diagnosis is the process of identifying faulty processors in a system through self-testing, and the diagnosability is an important parameter to measure the reliability of an interconnection network. As a new measure of fault tolerance, conditional diagnosability can better evaluate the real diagnosability of interconnection networks. In this paper, we derive the conditional diagnosability of the multiprocessor systems in terms of Complete Josephus Cubes CJCn (n ≥ 8) under the comparison model.
%G English
%2 https://inria.hal.science/hal-01513769/document
%2 https://inria.hal.science/hal-01513769/file/978-3-642-40820-5_19_Chapter.pdf
%L hal-01513769
%U https://inria.hal.science/hal-01513769
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-NPC
%~ IFIP-LNCS-8147