Conference Paper
Delay Analysis in TemperatureConstrained Hard RealTime Systems with General Task Arrivals.
Michigan Univ., Dearborn, MI
DOI: 10.1109/RTSS.2006.16 Conference: Proceedings of the 27th IEEE RealTime Systems Symposium (RTSS 2006), 58 December 2006, Rio de Janeiro, Brazil Source: DBLP

Conference Paper: Thermal analysis of periodic realtime systems with stochastic properties: an analytical approach
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ABSTRACT: We consider a realtime 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 temperatureaware analysis of reliability and power consumption of individual tasks.Proceedings of the 21st International conference on RealTime Networks and Systems; 10/2013  [Show abstract] [Hide abstract]
ABSTRACT: With the evolution of today’s semiconductor technology, chip temperature increases rapidly mainly due to the growth in power density. Therefore, for modern embedded realtime systems it is crucial to estimate maximal temperatures early in the design in order to avoid burnout and to guarantee that the system can meet its realtime constraints. This paper provides answers to a fundamental question: What is the worstcase peak temperature of a realtime embedded system under all feasible scenarios of task arrivals? A novel thermalaware analytic framework is proposed that combines a general event/resource model based on network and realtime calculus with system thermal equations. This analysis framework has the capability to handle a broad range of uncertainties in terms of task execution times, task invocation periods, jitter in task arrivals, and resource availability. The considered model takes both dynamic and leakage power as well as thermal dependent conductivity into consideration. Thorough simulation experiments validate the theoretical results.RealTime Systems 11/2013; · 0.55 Impact Factor  [Show abstract] [Hide abstract]
ABSTRACT: Realtime scheduling in systems with energy or power constraints is challenging. Especially when a mixture of realtime and best effort tasks exist, it is difficult to guarantee that all deadlines are met and at the same time that the system does not run out of energy. This is the case for industrial instrumentation for hazardous areas, such as explosive atmospheres. A frequently used method of protection against explosion is intrinsic safety. That means, the power supply as well as the energy that is stored in the device is kept below a critical threshold. As a result, energy is a much scarcer resource than processing time in this class of systems. Therefore, it is appropriate to base the scheduling decision on the available and the consumed energy instead of the processing time. In this work, we adapt the EarliestEligibleVirtualDeadlineFirst algorithm (EEVDF) for energydriven scheduling using dynamic power management. The resulting system is hard realtime capable, takes the energy consumption of peripherals and sensors into account and utilizes slack energy efficiently and predictably. Since the scheduler guarantees the availability of sufficient energy for realtime tasks, the design of the system is significantly simplified.RealTime and Embedded Technology and Applications Symposium (RTAS), 2013 IEEE 19th; 01/2013
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