Thermal analysis of periodic real-time systems with stochastic properties
Morteza Mohaqeqi, Mehdi Kargahi · 2013
We consider a real-time system running periodic tasks with probabilistic execution times. In this system, temperature behavior of the processor is affected by the jobs characteristics and scheduling algorithm. In turn, the processor temperature affects its reliability and power consumption. Moreover, the maximum speed by which the system can operate correctly and still avoid temperature runaway is dependent on its stochastic thermal behavior. Therefore, performance, power consumption, and reliability of this system are unavoidably dependent on its thermal behavior. In this paper, we present an analytical method to extract a fundamental temperature measure, namely temperature probability density function, to represent thermal specification of the system. Also, we show that how this specification could be used by the designer to perform temperature-aware analysis of reliability and power consumption of individual tasks.