Throughput maximization for periodic real-time systems under the maximal temperature constraint
Proceedings of the 48th Design Automation Conference
Throughput Maximization for Intel Desktop Platform under the Maximum Temperature Constraint
GREENCOM '11 Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications
Proceedings of the 20th International Conference on Real-Time and Network Systems
On the fundamentals of leakage aware real-time DVS scheduling for peak temperature minimization
Journal of Systems Architecture: the EUROMICRO Journal
Throughput maximization for periodic real-time systems under the maximal temperature constraint
ACM Transactions on Embedded Computing Systems (TECS) - Special Section ESFH'12, ESTIMedia'11 and Regular Papers
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Thermal management is becoming a critical issue in computing system design as the processor power continues to grow exponentially. Since high power consumption leads to high temperature, and high temperature in turn dramatically increases the leakage power consumption, a thermal management technique becomes ineffective if this temperature/leakage relation is not properly addressed in the deep sub-micron domain. This paper incorporates the leakage/temperature dependency into real-time scheduling analysis and presents a novel real-time scheduling method that can reduce the peak temperature when scheduling a hard real-time periodic task set. We formally prove the correctness of the proposed algorithm based on a processor model that can effectively account for the leakage/temperature relationship. The experimental results validate the assumptions of our scheduling method and also demonstrate its effectiveness in terms of feasibility improvement and peak temperature reduction.