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As VLSI technology continues to advance, the aggressive scaling of transistor size not only dramatically increases the power consumption of a processor chip, but also significantly decreases the reliability of the chip. While Dynamic Voltage and Frequency Scaling (DVFS) techniques have been shown very effective in power reduction, they can adversely affect the reliability and stability of computing...
Energy conservation is an important issue in the design of embedded systems. Dynamic Voltage Scaling (DVS) and Dynamic Power Management (DPM) are two widely used techniques for saving energy in such systems. In this paper, we address the problem of minimizing multi-resource energy consumption concerning both CPU and devices. A system is assumed to contain a fixed number of real-time tasks scheduled...
Dynamic Voltage Scaling (DVS) and Dynamic Power Management (DPM) techniques form the basis of numerous energy management schemes proposed for real-time embedded systems. DVS targets reducing the dynamic CPU energy consumption, while DPM attempts to reduce theenergy consumption of idle devices by putting them to low-power states over sufficiently long intervals. It is imperative that the system-wide...
While Dynamic Voltage Scaling (DVS) and Dynamic Power Management (DPM) techniques are widely used in real-time embedded applications, their complex interaction is not fully understood. In this research effort, we consider the problem of minimizing the expected energy consumption on settings where the workload is known only probabilistically. By adopting a system-level power model, we formally show...
A generalized dynamic energy performance scaling (DEPS) framework is proposed for exploring application-specific energy-saving potential in multiprocessor systems. This software-centric framework takes advantage of possible power control mechanisms to trade off performance for energy savings. Three existing technologies, i.e., dynamic hardware resource configuration (DHRC), dynamic voltage frequency...
This paper investigates an integrated approach to dynamic power management with fault tolerance in real time system. The system is composed of DVS processor (frequency dependent) and peripheral devices (frequency independent) with a better survival possibility in harsh environmental conditions. The fault tolerance is achieved via checkpointing and energy minimization is done by dynamic voltage scaling...
Dynamic power management (DPM) techniques are crucial in minimizing the overall energy consumption in real-time embedded systems. The timing constraints of real-time applications and non-trivial time/energy transition overheads introduce significant challenges, as the device sleep intervals should be longer than a minimum threshold (called the break-even time) to ensure energy-efficiency. In this...
Dynamic voltage scaling (DVS) is a promising technique for battery-powered systems to conserve energy consumption. Most existing DVS algorithms assume information about task periodicity or a priori knowledge about the task set to be scheduled. This paper presents an analytical model of general tasks for DVS assuming job timing information is known only after a task release. It models the voltage scaling...
Mobile robots are used in many applications, such as carpet cleaning, pickup and delivery, search and rescue, and entertainment. Energy limitation is one of the most important challenges for mobile robots. Most existing studies on mobile robots focus on motion planning to reduce motion power. However, motion is not the only power consumer. In this paper, we present a case study of a mobile robot called...
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