Publication Type : Conference Proceedings
Publisher : Proceedings - IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2010
Source : Proceedings - IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2010, Hong Kong, p.281-288 (2010)
ISBN : 9780769543222
Keywords : Computer architecture, Context switch, Critical sections, Efficient control, Efficient systems, Energy efficiency, Extensive simulations, Fixed priority scheduling, Frequency-scaling, Human computer interaction, Modern processors, Multi-threaded application, Multiple contexts, Operating frequency, Preemption control, Real-time tasks, Schedulability, Scheduling, Systems analysis, Ubiquitous computing
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2010
Abstract : Controlling the number of preemptions in realtime systems is highly desirable in order to achieve an efficient system design in multiple contexts. For example, the delays due to context switches account for high preemption overheads which detrimentally impact the system schedulability. Preemption control can also be potentially used for the efficient control of critical section behaviors in multi-threaded applications. At the same time, modern processor architectures provide for the ability to selectively choose operating frequencies, primarily targeting energy efficiency as well as system performance. In this paper, we propose the use of CPU Frequency Scaling for controlling the preemptive behavior of real-time tasks. We present a framework for selectively eliminating preemptions, that does not require modifications to the task attributes or to the underlying scheduler. We evaluate the proposed approach by four different heuristics through extensive simulation studies. © 2010 IEEE.
Cite this Research Publication : Aa Thekkilakattil, Dr. Anju Pillai S., Dobrin, Ra, and Punnekkat, Sa, “Preemption control using frequency scaling in fixed priority scheduling”, Proceedings - IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2010. Hong Kong, pp. 281-288, 2010.