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Power/thermal-aware scheduling for real-time tasks in multi-core systems
Determine the speed assignments on each CPU core and task mapping to minimize the energy consumption
The peak temperature must not exceed the temperature threshold.
Tasks have various power consumption characteristics
(i.e., effective frequency factor).
3. Motivation example
“Balanced” scheduling is not thermally safe
“Temperature-aware” scheduling is more thermal/energy optimal than “balanced” scheduling
4. Experimental environment
LITMUS-RT-based real-time scheduling testbed
5. Published papers
Changha Lee, Young-Ho Lee, and Jihong Kim, "Thermal-Aware Slack Distribution for Real-Time Systems," International Symposium on Low-Power and High-Speed Chips (COOL Chips XIV), Yokohama, Japan, April 20-22, 2011
이창하, 송욱, 김지홍, "멀티코어 기반의 실시간 시스템을 위한 발열량을 고려한 태스크 할당 기법," 2010 대한임베디드공학회 추계학술대회, pp. 31-34, 2010.11