TAFT: Thermal-Aware Hybrid Fault-Tolerant Technique for Multicore Embedded Systems

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Amir Hossein Ansari;Mohsen Ansari;Alireza Ejlali
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引用次数: 0

Abstract

To achieve high reliability, fault-tolerance techniques are exploited, but they may increase power consumption and temperature beyond safe limits. Therefore, power-aware fault-tolerance techniques should be used to manage power and temperature issues. We tolerate both permanent and transient faults through hybrid fault-tolerance techniques. In this letter, at first, we investigate how much power and temperature are increased when a hybrid fault-tolerance technique is applied to multicore embedded systems. Then, we propose a peak-power-aware hybrid fault-tolerant technique to meet the temperature constraint. Transient-temperature-based safe power (T-TSP) is a new power budgeting technique whose calculation is based on the current temperature of the processing core. Assigning dynamic budgets through T-TSP to processing cores allows us to effectively reach the full performance of processing cores. Experiments show that our proposed method reduces peak power and energy consumption on average by 13.5% (up to 50.7%) and 41.8% (up to 67.4%), respectively and improves the schedulability on average by 6.8% (up to 22.4%) compared to state-of-the-art methods while meeting the system reliability target.
TAFT:面向多核嵌入式系统的热感知混合容错技术
为了实现高可靠性,需要利用容错技术,但它们可能会使功耗和温度超出安全限制。因此,应该使用电源感知容错技术来管理电源和温度问题。我们通过混合容错技术容忍永久和短暂的故障。在这封信中,首先,我们研究了当混合容错技术应用于多核嵌入式系统时,功率和温度会增加多少。然后,我们提出了一种峰值功率感知混合容错技术来满足温度约束。基于瞬态温度的安全功率(T-TSP)是一种基于加工核心当前温度计算的新型功率预算技术。通过T-TSP为处理核心分配动态预算使我们能够有效地达到处理核心的全部性能。实验表明,该方法在满足系统可靠性目标的前提下,将峰值功率和能耗分别平均降低13.5%(最高50.7%)和41.8%(最高67.4%),可调度性平均提高6.8%(最高22.4%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Embedded Systems Letters
IEEE Embedded Systems Letters Engineering-Control and Systems Engineering
CiteScore
3.30
自引率
0.00%
发文量
65
期刊介绍: The IEEE Embedded Systems Letters (ESL), provides a forum for rapid dissemination of latest technical advances in embedded systems and related areas in embedded software. The emphasis is on models, methods, and tools that ensure secure, correct, efficient and robust design of embedded systems and their applications.
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