This paper proposes an energy efficient real-time scheduling strategy called EnSuRe, which (i) executes real-time tasks on low power consuming primary processors to enhance the system accuracy by maintaining the deadline and (ii) provides reliability against a fixed number of transient faults by selectively executing backup tasks on high power consuming backup processor. Simulation results reveal that EnSuRe consumes nearly 25% less energy, compared to existing techniques, while satisfying the fault tolerance requirements. EnSuRe is also able to achieve 75% system accuracy with 50% system utilisation. Further, the obtained simulation outcomes are validated on benchmark tasks via a fault injection framework on Xilinx ZYNQ APSoC heterogeneous...
Real-time scheduling policies have been widely studied, with many known schedulability and feasibili...
Abstract—The Standby-Sparing (SS) technique has been pre-viously explored to improve energy efficien...
In this paper we present an approach to the scheduling and voltage scal-ing of low-power fault-toler...
This paper proposes an energy efficient real-time scheduling strategy called EnSuRe, which (i) execu...
Over the past several decades, we have experienced tremendous growth of real-time systems in both sc...
Fault tolerance and energy have become important design issues in multiprocessor system-on-chips (So...
Energy-efficient task allocation and scheduling schemes with deterministic fault-tolerance capabilit...
International audienceLow energy consumption and high reliability are widely identified as increasin...
This paper presents an approach to the synthesis of low-power fault-tolerant hard real-time applicat...
Many real-time systems employed in defense, space, and con-sumer applications have power constraints...
Task mapping and scheduling are critical in minimizing energy consumption while satisfying the perfo...
The amount of energy needed to operate high-performance computing systems increases regularly since ...
This report explores algorithms aiming at reducing the algorithm run-time and rejection rate when on...
In this paper we investigate fault tolerance and Dynamic Voltage Scaling (DVS) in hard real time sys...
Historically, slack time in real-time systems has been used as temporal redundancy by rollback recov...
Real-time scheduling policies have been widely studied, with many known schedulability and feasibili...
Abstract—The Standby-Sparing (SS) technique has been pre-viously explored to improve energy efficien...
In this paper we present an approach to the scheduling and voltage scal-ing of low-power fault-toler...
This paper proposes an energy efficient real-time scheduling strategy called EnSuRe, which (i) execu...
Over the past several decades, we have experienced tremendous growth of real-time systems in both sc...
Fault tolerance and energy have become important design issues in multiprocessor system-on-chips (So...
Energy-efficient task allocation and scheduling schemes with deterministic fault-tolerance capabilit...
International audienceLow energy consumption and high reliability are widely identified as increasin...
This paper presents an approach to the synthesis of low-power fault-tolerant hard real-time applicat...
Many real-time systems employed in defense, space, and con-sumer applications have power constraints...
Task mapping and scheduling are critical in minimizing energy consumption while satisfying the perfo...
The amount of energy needed to operate high-performance computing systems increases regularly since ...
This report explores algorithms aiming at reducing the algorithm run-time and rejection rate when on...
In this paper we investigate fault tolerance and Dynamic Voltage Scaling (DVS) in hard real time sys...
Historically, slack time in real-time systems has been used as temporal redundancy by rollback recov...
Real-time scheduling policies have been widely studied, with many known schedulability and feasibili...
Abstract—The Standby-Sparing (SS) technique has been pre-viously explored to improve energy efficien...
In this paper we present an approach to the scheduling and voltage scal-ing of low-power fault-toler...