Paper Info
Title
RASA: Reliability-Aware Scheduling Approach for FPGA-Based Resilient Embedded Systems in Extreme Environments
Abstract
Field-programmable gate arrays (FPGAs) offer the flexibility of general-purpose processors along with the performance efficiency of dedicated hardware that essentially renders it as a platform of choice for modern-day robotic systems for achieving real-time performance. Such robotic systems when deployed in harsh environments often get plagued by faults due to extreme conditions. Consequently, the real-time applications running on FPGA become susceptible to errors which call for a reliability-aware task scheduling approach, the focus of this article. We attempt to address this challenge using a hybrid offline–online approach. Given a set of periodic real-time tasks that require to be executed, the offline component generates a feasible preemptive schedule with specific preemption points. At runtime, these preemption events are utilized for fault detection. Upon detecting any faulty execution at such distinct points, the reliability-aware scheduling approach, RASA, orchestrates the recovery mechanism to remediate the scenario without jeopardizing the predefined schedule. Effectiveness of the proposed strategy has been verified through simulation-based experiments and we observed that the RASA is able to achieve 72% of task acceptance rate even under 70% of system workloads with high fault occurrence rates.
Year
DOI
Venue
2022
10.1109/TSMC.2021.3077697
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Keywords
DocType
Volume
Extreme environments (EEs),field-programmable gate array (FPGA),partial reconfiguration,real-time scheduling,reliability,resilient systems,single-event upsets (SEUs)
Journal
52
Issue
ISSN
Citations 
6
2168-2216
0
PageRank 
References 
Authors
0.34
24
5
Name
Order
Citations
PageRank
Sangeet Saha112.72
Xiaojun Zhai27721.78
Shoaib Ehsan311024.43
Shakaiba Majeed441.74
Klaus D. McDonald-Maier532754.43