A Novel Approach to Derive the Average-Case Behavior of Distributed Embedded System (original) (raw)

2012

Monte-Carlo simulation is widely used in distributed embedded system in our present era. In this research work, we have put an emphasis on reliability assessment of any distributed embedded system through Monte-Carlo simulation. We have done this assessment on random data which represents input voltages ranging from 0 volt to 12 volt; several numbers of trials have been executed on those data to check the average case behavior of a distributed real time embedded system. From the experimental result, a saturation point has been achieved against the time behavior which shows the average case behavior of the concerned distributed embedded system.