DocumentCode :
2781213
Title :
A framework for fault tolerance in distributed real time systems
Author :
Malik, S. ; Rehman, M.J.
Author_Institution :
Fac. of Eng. & Sci., Mohammad Ali Jinnah Univ., Islamabad, Pakistan
fYear :
2005
fDate :
17-18 Sept. 2005
Firstpage :
505
Lastpage :
510
Abstract :
Real time systems have a characteristic that they should be fault tolerant. In this paper, a fault tolerance mechanism for real time systems is proposed. First a model is discussed which is a modification of distributed recovery block and is based on distributed computing. Then a model is proposed which is based on distributed computing along with feed forward artificial neural network methodology. The proposed technique is based on execution of design diverse variants on replicated hardware, and assigning weights to the results produced by variants. Thus the proposed method encompasses both the forward and backward recovery mechanism, but main focus is on forward recovery.
Keywords :
distributed processing; fault tolerant computing; feedforward neural nets; real-time systems; backward recovery mechanism; distributed computing; distributed real time systems; distributed recovery block; fault tolerance; fault tolerance mechanism; feed forward artificial neural network methodology; forward recovery mechanism; Artificial neural networks; Distributed computing; Fault tolerance; Fault tolerant systems; Feeds; Forward contracts; Hardware; Real time systems; Redundancy; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies, 2005. Proceedings of the IEEE Symposium on
Print_ISBN :
0-7803-9247-7
Type :
conf
DOI :
10.1109/ICET.2005.1558933
Filename :
1558933
Link To Document :
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