Title :
Fault diagnosis analysis of matching composition networks
Author_Institution :
Coll. of Math. & Comput. Sci., Fujian Normal Univ., Fuzhou, China
Abstract :
The growing size of the multiprocessor system increases its vulnerability to component failures. It is crucial to locate and to replace the fault processors to maintain a system´s high reliability. The fault diagnosis is the process of identifying faulty processors in a system through testing. Based on the fault tolerance of the matching composition networks, this paper proposes a fast pessimistic diagnosis algorithm on the matching composition networks.
Keywords :
fault diagnosis; multiprocessing systems; fast pessimistic diagnosis algorithm; fault diagnosis analysis; fault processors; matching composition network; multiprocessor system; Computers; Fault diagnosis; Fault tolerance; Hypercubes; Joining processes; Multiprocessing systems; Program processors;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
DOI :
10.1109/CSAE.2011.5952598