Fault Injection into VHDL Models: Experimental Validation of a Fault-Tolerant Microcomputer System

1999 ◽  
pp. 191-208 ◽  
Author(s):  
D. Gil ◽  
R. Martínez ◽  
J. V. Busquets ◽  
J. C. Baraza ◽  
P. J. Gil
Keyword(s):  
Experimental Validation ◽  
Fault Tolerant ◽  
Fault Injection ◽  
Microcomputer System

Fault Injection Campaign for a Fault Tolerant Duplex Framework

2007 ◽  
Author(s):  
Gian Franco Sacco ◽  
Robert D. Ferraro ◽  
Paul von Allmen ◽  
Dave A. Rennels
Keyword(s):  
Fault Tolerant ◽  
Fault Injection

A Recovery-Oriented Approach for Software Fault Diagnosis in Complex Critical Systems

2012 ◽  
pp. 29-56
Author(s):  
Gabriella Carrozza ◽  
Roberto Natella
Keyword(s):  
Error Detection ◽  
Traffic Control ◽  
Fault Location ◽  
Fault Tolerant ◽  
Fault Injection ◽  
Critical Systems ◽  
Software Faults ◽  
Real World Application ◽  
Complex Fault ◽  
Detection Quality

This paper proposes an approach to software faults diagnosis in complex fault tolerant systems, encompassing the phases of error detection, fault location, and system recovery. Errors are detected in the first phase, exploiting the operating system support. Faults are identified during the location phase, through a machine learning based approach. Then, the best recovery action is triggered once the fault is located. Feedback actions are also used during the location phase to improve detection quality over time. A real world application from the Air Traffic Control field has been used as case study for evaluating the proposed approach. Experimental results, achieved by means of fault injection, show that the diagnosis engine is able to diagnose faults with high accuracy and at a low overhead.

A Recovery-Oriented Approach for Software Fault Diagnosis in Complex Critical Systems

2011 ◽  
Vol 2 (1) ◽  
pp. 77-104 ◽  
Author(s):  
Gabriella Carrozza ◽  
Roberto Natella
Keyword(s):  
Error Detection ◽  
Traffic Control ◽  
Fault Location ◽  
Fault Tolerant ◽  
Fault Injection ◽  
Critical Systems ◽  
Software Faults ◽  
Real World Application ◽  
Complex Fault ◽  
Detection Quality

This paper proposes an approach to software faults diagnosis in complex fault tolerant systems, encompassing the phases of error detection, fault location, and system recovery. Errors are detected in the first phase, exploiting the operating system support. Faults are identified during the location phase, through a machine learning based approach. Then, the best recovery action is triggered once the fault is located. Feedback actions are also used during the location phase to improve detection quality over time. A real world application from the Air Traffic Control field has been used as case study for evaluating the proposed approach. Experimental results, achieved by means of fault injection, show that the diagnosis engine is able to diagnose faults with high accuracy and at a low overhead.

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