Skip to Main content Skip to Navigation
Conference papers

Conditional Diagnosability of Complete Josephus Cubes

Abstract : 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.
Document type :
Conference papers
Complete list of metadata

Cited literature [20 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Tuesday, April 25, 2017 - 2:33:35 PM
Last modification on : Tuesday, April 25, 2017 - 2:35:49 PM
Long-term archiving on: : Wednesday, July 26, 2017 - 1:52:32 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Lishan Lu, Shuming Zhou. Conditional Diagnosability of Complete Josephus Cubes. 10th International Conference on Network and Parallel Computing (NPC), Sep 2013, Guiyang, China. pp.220-231, ⟨10.1007/978-3-642-40820-5_19⟩. ⟨hal-01513769⟩



Record views


Files downloads