Conditional Diagnosability of Complete Josephus Cubes - Network and Parallel Computing
Conference Papers Year : 2013

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.
Fichier principal
Vignette du fichier
978-3-642-40820-5_19_Chapter.pdf (136.09 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01513769 , version 1 (25-04-2017)

Licence

Identifiers

Cite

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⟩
56 View
81 Download

Altmetric

Share

More