Characterizing Disk Failures with Quantified Disk Degradation Signatures: An Early Experience

Abstract

With the advent of cloud computing and online services, large enterprises rely heavily on their data centers to serve end users. Among different server components, hard disk drives are known to contribute significantly to server failures. Disk failures as well as their impact on the performance of storage systems and operating costs are becoming an increasingly important concern for data center designers and operators. However, there is very little understanding on the characteristics of disk failures in data centers. Effective disk failure management and data recovery also requires a deep understanding of the nature of disk failures. In this paper, we present a systematic approach to provide a holistic and insightful view of disk failures. We study a large-scale storage system from a production data center. We categorize disk failures based on their distinctive manifestations and properties. Then we characterize the degradation of disk errors to failures by deriving the degradation signatures for each failure category. The influence of disk health attributes on failure degradation is also quantified. We discuss leveraging the derived degradation signatures to forecast disk failures even in their early stages. To the best of our knowledge, this is the first work that shows how to discover the categories of disk failures and characterize their degradation processes on a production data center.