Fuzzy Logic Applied to System Monitors

Date

2021-04-09

Advisors

Journal Title

Journal ISSN

ISSN

2169-3536

Volume Title

Publisher

IEEE

Type

Article

Peer reviewed

Yes

Abstract

System monitors are applications used to monitor other systems (often mission critical) and take corrective actions upon a system failure. Rather than reactively take action after a failure, the potential of fuzzy logic to anticipate and proactively take corrective actions is explored here. Failures adversely affect a system’s non-functional qualities (e.g., availability, reliability, and usability) and may result in a variety of losses such as data, productivity, or safety losses. The detection and prevention of failures necessarily improves a critical system’s non-functional qualities and avoids losses. The paper is self-contained and reviews set and logic theory, fuzzy inference systems (FIS), explores parameterization, and tests the neighborhood of rule thresholds to evaluate the potential for anticipating failures. Results demonstrate detectable gradients in FIS state spaces and means fuzzy logic based system monitors can anticipate rule violations or system failures.

Description

The Publisher's final version can be found by following the DOI link. Open access article.

Keywords

Autonomous systems, Fault tolerance, Fuzzy systems, Monitoring, Software reliability

Citation

Khan. N., Elizondo. D. A., Deka. L. and Molina-Cabello. M. A. (2021) Fuzzy Logic Applied to System Monitors. IEEE Access, 9, pp. 56523-56538.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)