ENERGY-EFFICIENT SCHEDULING FOR DISTRIBUTED REAL-TIME EMBEDDED SYSTEMS
Journal Title: International Journal of Electrical, Electronics and Mechanical Fundamentals (www.ijeemf.com) - Year 2012, Vol 2, Issue 1
Abstract
Energy consumption is a critical design issue in embedded systems, especially in battery-operated systems. Dynamic Voltage Scaling and Dynamic Frequency Scaling allow us to adjust supply voltage and processor frequency to adapt to the workload demand for better energy management instead of lowering processor voltage and frequency as much as possible. Power-Aware Real-time Scheduling adjusts voltage and frequency according to some optimization criteria, such as low energy consumption or high throughput, while meets the timing constraints of real-time tasks. The problem of variable voltage scheduling of multi-rate periodic task graphs i.e., tasks with precedence relationship in heterogeneous distributed real-time embedded systems is addressed. Such an embedded system may contain general purpose processors, field programmable gate arrays and application specification integrated circuits. The implications of the distribution of power consumption of tasks and characteristics of voltage-scalable processing elements (PEs) are studied. Then a energy-efficient variable voltage scheduling algorithm to address these implications is presented. The scheduling algorithm performs execution order optimization of scheduling events to increase the chances of scaling down voltage and frequencies of these voltage-scalable PEs in the distributed embedded systems and it also performs power-profile and timing constraint driven, slack allocation to maximize power reduction via voltage scaling, based on the observation that the energy consumption of task on voltage-scalable PE is normally a convex function of the clock speed. This project aims to provide Energy Efficient Real-Time Scheduling in heterogeneous distributed real-time embedded systems.
Authors and Affiliations
Alka , Dr. Subham Gandhi , Dr. Jitender Khurana
Keywords
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