ReMap: Reliability Management of Peak-Power-Aware Real-Time Embedded Systems Through Task Replication

Abstract

Increasing power densities in future technology nodes is a crucial issue in multicore platforms. As the number of cores increases in them, power budget constraints may prevent powering all cores simultaneously at full performance level. Therefore, chip manufacturers introduce a power budget constraint as Thermal Design Power (TDP) for chips. Meanwhile, multicore platforms are suitable for implementation of fault-tolerance techniques to achieve high reliability. Task Replication is a known technique to tolerate transient faults. However, careless task replication may lead to significant peak power consumption. In this paper, we consider the problem of achieving a given reliability target while keeping the total power consumption under the chip TDP for a set of periodic soft real-time tasks. For this purpose, we propose a method for mapping and scheduling periodic soft real-time tasks in multicore embedded systems. The proposed method consists of three phases: (i) Reliability-Aware Lowest Utilization Mapping, (ii) Maximum-Power-Aware EDF Scheduling, and (iii) Reliability-and-Peak-Power-Aware Dynamic-Voltage-Frequency-Scaling. Our experiments show that our proposed method provides up to 38.4% (on average by 25%) peak power reduction compared to state-of-the-art methods.