Reliability Analysis of Fault Tolerant Memory Systems

Yigit, Yagmur; Maglaras, Leandros; Amine Ferrag, Mohamed; Moradpoor, Naghmeh; Lambropoulos, Giorgos

Abstract

This paper delves into a comprehensive analysis of fault-tolerant memory systems, focusing on recovery techniques modelled using Markov chains to address transient errors. The study revolves around the application of scrubbing methods in conjunction with Single Error Correction and Double Error Detection (SEC-DED) codes. It explores three primary models: 1) Exponentially distributed scrubbing, involving periodic checks of memory words within exponentially distributed time intervals; 2) Deterministic scrubbing, featuring regular, periodic word checks; and 3) Mixed scrubbing, which combines both probabilistic and deterministic scrubbing approaches. The research encompasses the estimation of reliability and Mean Time to Failure (MTTF) values for each model. Notably, the findings highlight the superior performance of mixed scrubbing over simpler scrubbing methods in terms of reliability and MTTF.

Citation

Yigit, Y., Maglaras, L., Amine Ferrag, M., Moradpoor, N., & Lambropoulos, G. (2023, November). Reliability Analysis of Fault Tolerant Memory Systems. Presented at The 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM 2023), Piraeus, Greece

• Presentation Conference Type: Conference Paper (published)
• Conference Name: The 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM 2023)
• Start Date: Nov 10, 2023
• End Date: Nov 12, 2023
• Acceptance Date: Oct 24, 2023
• Online Publication Date: Mar 21, 2024
• Publication Date: 2023
• Deposit Date: Oct 25, 2023
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: 2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)
• ISBN: 9798350383683
• DOI: https://doi.org/10.1109/SEEDA-CECNSM61561.2023.10470763
• Public URL: http://researchrepository.napier.ac.uk/Output/3222668
• Related Public URLs: https://seeda2023.unipi.gr/