DocumentCode
395553
Title
Towards immune inspired fault tolerance in embedded systems
Author
Timmis, Jon ; De Lemos, Roghrio ; Ayara, Modupe ; Duncan, Ross
Author_Institution
Comput. Lab., Kent Univ., Canterbury, UK
Volume
3
fYear
2002
fDate
18-22 Nov. 2002
Firstpage
1459
Abstract
The immune system is a remarkable natural system that is proving to be of great inspiration to computer scientists and engineers alike. This paper discusses the role that the immune system can play in the development of fault tolerant embedded systems. Initial work in the area has highlighted the use of the immune process of negative selection, and more importantly the concept of self/non-self discrimination in the application of artificial immune systems to fault tolerance. This paper reviews those works, highlights issues relating to the way in which this area is approached, and raises important points that need to be considered before effective immune inspired fault tolerant systems can be constructed.
Keywords
artificial intelligence; embedded systems; fault tolerant computing; large-scale systems; antibodies; antigenic binding; complex systems; embedded systems; fault tolerance; immune system; learning; negative selection; Application software; Artificial immune systems; Biology computing; Computational intelligence; Computer security; Embedded system; Fault tolerant systems; Immune system; Laboratories; Shape measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN
981-04-7524-1
Type
conf
DOI
10.1109/ICONIP.2002.1202862
Filename
1202862
Link To Document