As mobile computing is getting popular, there is an increasing interest in techniques that can minimize energy consumption and prolong the battery life on mobile devices. Processor voltage scheduling is an effective way to reduce energy dissipation by reducing the processor speed. In this paper, we study voltage scheduling for real-time periodic tasks with non-preemptible sections. Three schemes are proposed to address this problem. The static speed algorithm derives a static feasible speed based on the Stack Resource Policy (SRP). As worst-case blocking does not always occur, the novel dual speed algorithm switches the processor speed to a lower value whenever possible. The dynamic reclaiming algorithm deploys a reservation-based approach ...
Abstract—Smartphones are facing a grand challenge in extending their battery life to sustain an incr...
A novel energy reduction strategy to maximally exploit the dynamic workload variation is proposed fo...
cited By 5; Conference of 21st International Conference on Real-Time Networks and Systems, RTNS 2013...
With the demands of power-constrained mobile ap-plications and devices, it becomes a crucial and cha...
The high power consumption of modern processors becomes a major concern because it leads to decrease...
Dynamic voltage scaling (DVS) has been adopted in many com-puting systems to reduce the energy consu...
The high power consumption of modern processors becomes a major concern because it leads to decrease...
Energy consumption is a critical design issue in real-time systems, especially in battery- operated ...
Dynamic voltage scheduling has been proven to be one of the most effective ways to reduce the power ...
Dynamic voltage scaling (DVS) is a well-known low power design technique that reduces the processor ...
In reality, peripheral devices often make a significant con-tribution to the power consumption of th...
In recent years, there has been a rapid and wide spread of non-traditional computing platforms, espe...
AbstractPower aware computing has become popular recently because of the vast application of the por...
The power consumption of modern high-performance pro-cessors is becoming a major concern because it ...
Minimizing energy consumption is an important issue in the design of real-time embedded systems. As ...
Abstract—Smartphones are facing a grand challenge in extending their battery life to sustain an incr...
A novel energy reduction strategy to maximally exploit the dynamic workload variation is proposed fo...
cited By 5; Conference of 21st International Conference on Real-Time Networks and Systems, RTNS 2013...
With the demands of power-constrained mobile ap-plications and devices, it becomes a crucial and cha...
The high power consumption of modern processors becomes a major concern because it leads to decrease...
Dynamic voltage scaling (DVS) has been adopted in many com-puting systems to reduce the energy consu...
The high power consumption of modern processors becomes a major concern because it leads to decrease...
Energy consumption is a critical design issue in real-time systems, especially in battery- operated ...
Dynamic voltage scheduling has been proven to be one of the most effective ways to reduce the power ...
Dynamic voltage scaling (DVS) is a well-known low power design technique that reduces the processor ...
In reality, peripheral devices often make a significant con-tribution to the power consumption of th...
In recent years, there has been a rapid and wide spread of non-traditional computing platforms, espe...
AbstractPower aware computing has become popular recently because of the vast application of the por...
The power consumption of modern high-performance pro-cessors is becoming a major concern because it ...
Minimizing energy consumption is an important issue in the design of real-time embedded systems. As ...
Abstract—Smartphones are facing a grand challenge in extending their battery life to sustain an incr...
A novel energy reduction strategy to maximally exploit the dynamic workload variation is proposed fo...
cited By 5; Conference of 21st International Conference on Real-Time Networks and Systems, RTNS 2013...