Reproduction Research of FSA-Benchmark
This addresses a challenge for data centers and storage systems in managing performance degradation, but appears incremental as it focuses on reproduction of an existing benchmark.
The paper tackled the problem of detecting and managing fail-slow disks in storage systems, which degrade performance before failing, by reproducing the FSA-Benchmark to evaluate reliability and performance, though no concrete results or numbers are provided in the 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.