By Bart Kuijpers, Jan Paredaens, Jan Van den Bussche (auth.), Max J. Egenhofer, John R. Herring (eds.)
This publication offers the court cases of the 4th overseas Symposium on huge Spatial Databases, SSD '95, held in Portland, Maine, united states in August 1995.
The 23 refereed complete papers awarded have been chosen from greater than 60 submissions and describe the cutting-edge within the increasing box of huge spatial databases, with a definite emphasis on an upcoming new iteration of spatial database administration structures. the amount is geared up in sections on spatial information versions, spatial information mining, spatial question processing, a number of representations, open GIS, geo-algorithms, reasoning approximately spatial family, spatial joins, and benchmarks.
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Additional info for Advances in Spatial Databases: 4th International Symposium, SSD'95 Portland, ME, USA, August 6–9, 1995 Proceedings
It will identify the injection’s instant. g. g. g. interruption) are commonly used. Second, the fault must be injected. g. g. bit-flip) fully characterize the process. Finally, its impact must be observed. g error detected) conditions. 2 45 A Fault Injection Experiment We shall now evaluate if Boundary-Scan can support the fault injection experiment steps. The discussion will be illustrated assuming the target system depicted in Fig. 5. 1 compliant components (A and B) directly connected. Both scan chains are serial connected and available at the system level, for injector use, through its Test Access Port (TAP).
A shows only 12% of the injections performed have been activated. This implies that in the 88% of the experiments the injected faults have not affected at all the behaviour of the system. From that viewpoint, this result indicates that targeting faults with a random distribution in the ECU is not a time effective approach. b), 16% of the resulting errors remained dormant. This implies that, during the experiment observation time, the 16 % of the activated faults have not led the system to a failure and have not been detected by the system error detection mechanisms.
As we have already stated, Nexus enables fault injections to be performed without stopping the normal execution of the target system. Furthermore, the activity of the target system can be also traced without any temporal overhead. The end of each experiment occurs after a predetermined time from the injection of the fault (notion of observation time). The trace of the system activity is then stored in a database and the FI starts the next experiment. C. Analysis Tool (AT) The AT is a parser that compares the traces obtained from fault-injection each experiment with those associated with fault-free runs of the target system (notion of golden-runs).