Applying Petri Nets to Modeling of Many-Core Processor Self-Testing when Tests are Performed Randomly

Abstract

System level diagnosis is an abstraction of high level and, thus, its practical implementation to particular cases of complex systems is the task which requires additional investigations, both theoretical and modeling. Traditionally, system self-diagnosis is used for detecting of permanently faulty nodes. In the paper, we consider the problems of intermittent fault detection and suggest diagnosis procedures which allow distinguishing between different types of intermittent faults. For each type of intermittent faults the diagnosis procedure was developed

Diagnosis of Intermittently Faulty Units at System Level

“…Self-diagnosis, which uses the ability of processor cores to test each other, is now actively studied as a promising technique for providing processor cores checking and diagnosis [7], [8], [12], [13], [14].…”

Optimization of Parameters at SDN Technologie Networks

“…Cx restrictions that satisfy the acceptable range of values function F(x) [13,14]. The objective function should be formulated on the basis of existing ideas about the quality of the designed network [15], its value has decreased with improved quality.…”

Stochastic testing of processing cores in a many-core architecture

“…These stochastic transitions have an exponential distribution with a desired rate. We have used rate of transitions from busy to idle (λ bi ), for TBI i , according to the value presented in [34] ( This reference uses 1.5×10 6 /s for the rate of going from a busy to idle state).…”