A review of techniques for ageing detection and monitoring on embedded systems
Citation Link: https://doi.org/10.15480/882.13782
Publikationstyp
Journal Article
Date Issued
2024-10-07
Sprache
English
TORE-DOI
Journal
Volume
57
Issue
1
Article Number
24
Citation
ACM Computing Surveys 57 (1): 24 (2024)
Publisher DOI
Scopus ID
Publisher
Association for Computing Machinery (ACM)
Embedded digital devices are progressively deployed in dependable or safety-critical systems. These devices undergo significant hardware ageing, particularly in harsh environments. This increases their likelihood of failure. It is crucial to understand ageing processes and to detect hardware degradation early for guaranteeing system dependability. In this survey, we review the core ageing mechanisms, and identify and categorize general working principles of ageing detection and monitoring techniques for Commercial-Off-The-Shelf (COTS) components that are prevalent in embedded systems: Field Programmable Gate Arrays (FPGAs), microcontrollers, Systems-on-Chips (SoCs), and their power supplies. From our review, we find that online techniques are more widely applied on FPGAs than on other components, and see a rising trend towards machine learning application for analysing hardware ageing. Based on the reviewed literature, we identify research opportunities and potential directions of interest in the field. With this work, we intend to facilitate future research by systematically presenting all main approaches in a concise way.
Subjects
ageing monitoring
FPGA
hardware health
microcontroller
power supplies
MLE@TUHH
DDC Class
004: Computer Sciences