Title
Improving error detection with selective redundancy in software-based techniques
Abstract
This paper presents an analysis of the impact of selective software-based techniques to detect faults in microprocessor systems. A set of algorithms is implemented, compiled to a microprocessor and selected variables of the code are hardened with software-based techniques. Seven different methods that choose which variables are hardened are introduced and compared. The system is implemented over a miniMIPS microprocessor and a fault injection campaign is performed in order to verify the feasibility and effectiveness of each selective fault tolerance approach. Results can lead designers to choose more wisely which variables of the code should be hardened considering detection rates and hardening overheads.
Year
DOI
Venue
2013
10.1109/LATW.2013.6562659
Test Workshop
Keywords
Field
DocType
error detection,fault diagnosis,fault tolerant computing,microprocessor chips,redundancy,detection rates,fault injection campaign,fault tolerance approach,hardening overheads,miniMIPS microprocessor,selective redundancy,selective software based techniques
General protection fault,Computer science,Microprocessor,Software fault tolerance,Error detection and correction,Fault tolerance,Software,Redundancy (engineering),Fault injection,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4799-0595-9
1
0.37
References 
Authors
5
4
Name
Order
Citations
PageRank
Eduardo Chielle172.81
Jose Rodrigo Azambuja2133.13
Raul S. Barth310.71
F. Lima Kastensmidt4698.92