Reproduction Research of FSA-Benchmark

TL;DR

This paper investigates the reproducibility of the FSA-Benchmark, focusing on storage system reliability, particularly detecting fail-slow disks that degrade performance gradually, which is crucial for maintaining system efficiency.

Contribution

It provides a reproduction study of the FSA-Benchmark, emphasizing the importance of identifying fail-slow disks in large-scale storage systems.

Findings

Fail-slow disks can be effectively detected using the benchmark.

Reproduction confirms the benchmark's utility in real-world scenarios.

Enhanced detection methods improve storage system reliability.

Abstract

In the current landscape of big data, the reliability and performance of storage systems are essential to the success of various applications and services. as data volumes continue to grow exponentially, the complexity and scale of the storage infrastructures needed to manage this data also increase. a significant challenge faced by data centers and storage systems is the detection and management of fail-slow disks that experience a gradual decline in performance before ultimately failing. Unlike outright disk failures, fail-slow conditions can go undetected for prolonged periods, leading to considerable impacts on system performance and user experience.