TITLE:
A Novel Fuzzy Membership Partitioning for Improved Voting in Fault Tolerant System
AUTHORS:
Akhilesh Pathak, Tarang Agarwal, Anand Mohan
KEYWORDS:
Fault Tolerance, Fault Masking, Threshold, Fuzzy Voting, Majority Voting, Safety, Availability
JOURNAL NAME:
Journal of Intelligent Learning Systems and Applications,
Vol.7 No.1,
January
22,
2015
ABSTRACT: This paper presents a novel
technique for improved voting by adaptively varying the membership boundaries
of a fuzzy voter to achieve realistic consensus among inputs of redundant
modules of a fault tolerant system. We demonstrate that suggested dynamic membership
partitioning minimizes the number of occurrences of incorrect outputs of a
voter as compared to the fixed membership partitioning voter implementations.
Simulation results for the proposed voter for Triple Modular Redundancy (TMR)
fault tolerant system indicate that our algorithm shows better safety and
availability performance as compared to the existing one. However, our voter
design is general and thus it can be potentially useful for improving safety
and availability of critical fault tolerant systems.