Fault-Aware Application Scheduling in Low-Power Embedded Systems with Energy Harvesting

被引：1

作者：

Xiang, Yi ^{[1
]}

Pasricha, Sudeep ^{[1
]}

机构：

[1] Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80523 USA

来源：

2014 INTERNATIONAL CONFERENCE ON HARDWARE/SOFTWARE CODESIGN AND SYSTEM SYNTHESIS (CODES+ISSS) | 2014年

关键词：

Task Scheduling; Energy Harvesting; Soft Errors; EFFICIENT SYNTHESIS; MANAGEMENT;

D O I：

10.1145/2656075.2656084

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose a hybrid design-time and run-time framework for reliable resource allocation, i.e., mapping and scheduling of applications, in multi-core embedded systems with solar energy harvesting. Our framework is designed to cope with the complexity of an application model with data dependencies and run-time variations in solar radiance, execution time, and transient faults, with support for flexible schedule templates at design-time, and lightweight online adjustment mechanisms to monitor run-time dynamics and make adjustments to task execution strategy. Our experimental results indicate improvements in performance and adaptivity using our framework, with up to 29.5% miss rate reduction compared to prior work and 55% performance benefits from adaptive run-time workload management, under stringent energy constraints and varying system conditions at run-time.

引用

页数：10

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