A Measurement-Based Performability Model For A Multiprocessor System
C M Hsueh, K. R. Iyer, S K Trivedi · 1987
This paper describes a measurement-based performability model based on real error-data collected on a multi-processor system. Model development from the raw error-data to the estimation of cumulative reward is described. Both normal and failure behavior of the system are characterized. The measured data show that the holding times in key operational and failure states are not simple exponential and that a semi-Markov process is necessary to model the system behavior. A reward function, based on the service rate and the error rate in each state, is then defined in order to estimate the performability of the system and to depict the cost of different failure types and recovery procedures.