Fault Injection Experiments Using FIAT. Barton, J. H., Czeck, E. W., Segall, Z. Z., & Siewiorek, D. P. IEEE Trans. Comput., 39(4):575--582, 1990.
abstract   bibtex   
The results of several experiments conducted using the fault-injection-based automated testing (FIAT) system are presented. FIAT is capable of emulating a variety of distributed system architectures, and it provides the capabilities to monitor system behavior and inject faults for the purpose of experimental characterization and validation of a system's dependability. The experiments consists of exhaustively injecting three separate fault types into various locations, encompassing both the code and data portions of memory images, of two distinct applications executed with several different data values and sizes. Fault types are variations of memory bit faults. The results show that there are a limited number of system-level fault manifestations. These manifestations follow a normal distribution for each fault type. Error detection latencies are found to be normally distributed. The methodology can be used to predict the system-level fault responses during the system design stage.
@article{barton_fault_1990,
	title = {Fault {Injection} {Experiments} {Using} {FIAT}},
	volume = {39},
	abstract = {The results of several experiments conducted using the fault-injection-based automated testing (FIAT) system are presented. FIAT is capable of emulating a variety of distributed system architectures, and it provides the capabilities to monitor system behavior and inject faults for the purpose of experimental characterization and validation of a system's dependability. The experiments consists of exhaustively injecting three separate fault types into various locations, encompassing both the code and data portions of memory images, of two distinct applications executed with several different data values and sizes. Fault types are variations of memory bit faults. The results show that there are a limited number of system-level fault manifestations. These manifestations follow a normal distribution for each fault type. Error detection latencies are found to be normally distributed. The methodology can be used to predict the system-level fault responses during the system design stage.},
	number = {4},
	journal = {IEEE Trans. Comput.},
	author = {Barton, J. H. and Czeck, E. W. and Segall, Z. Z. and Siewiorek, D. P.},
	year = {1990},
	keywords = {automatic testing, distributed system architectures, error detection latencies, fault injection experiments, fault tolerant computing., fault-injection-based automated testing, memory images, system behavior, system-level fault manifestations},
	pages = {575--582}
}

Downloads: 0