Task Merging for Dynamic Power Management of Cyclic Applications in Real-Time Multiprocessor Systems

Abstract

Abstract-In this paper we propose the method of task merging and idle period clustering for dynamic power management (DPM) in a real-time system with multiple processing elements. We show that with good task scheduling, the energy and delay overheads due to power mode switching can be reduced significantly, while the opportunity for the system to switch to low power modes can be further improved. New on-line and off-line task scheduling algorithms are proposed that minimize the number of idle time intervals under the deadline and precedence constraints. A simple DPM policy is then used to save the energy dissipation during the idle time intervals. Experimental results show that, comparing to the DPM schemes without proper task scheduling, the proposed method reduces the number of power mode switching by 56% in average.

Task Scheduling in Real Time Systems with Energy Harvesting and Energy Minimization

“…A lot of research has been done to minimize the energy consumption. Dynamic Power Management (DPM) and Dynamic Voltage and Frequency Scaling (DVFS) has been investigated for minimizing energy consumption in battery operated system (Liu et al, 2006;. These approaches work efficiently with available energy resources.…”

Energy Management for Energy Harvesting-Based Embedded Systems: A Systematic Mapping Study

“…erefore, the arbitrary use of such devices will reduce battery life which, in turn, decides the terminal life. In this situation, some solutions have been proposed to reduce energy consumption, to a certain extent, such as dynamic voltage and frequency scaling (DVFS) [3][4][5] and dynamic power management [6][7][8]. In some cases, it is difficult to recharge or change the battery; for example, in the biomedical field, implants are mainly powered by batteries with capacities limited by physical size constraints.…”