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Measurement and Analysis of Large-Scale Network File System Workloads


June 28, 2008


Andrew W. Leung, Shankar Pasupathy, Garth Goodson, and Ethan L. Miller.

In this paper, we present the analysis of two large-scale network file system workloads.

In this paper we present the analysis of two large-scale network file system workloads.We measured CIFS traffic for two enterprise-class file servers deployed in the NetApp data center for a three month period. One file server was used by marketing, sales, and finance departments and the other by the engineering department. Together these systems represent over 22TB of storage used by over 1500 employees, making this the first ever large-scale study of the CIFS protocol.

We analyzed how our network file system workloads compared to those of previous file system trace studies and took an in-depth look at access, usage, and sharing patterns. We found that our workloads were quite different from those previously studied; for example, our analysis found increased read-write file access patterns, decreased read-write ratios, more random file access, and longer file lifetimes. In addition, we found a number of interesting properties regarding file sharing, file re-use, and the access patterns of file types and users, showing that modern file system workload has changed in the past 5–10 years. This change in workload characteristics has implications on the future design of network file systems, which we describe in the paper.

In Proceedings of the USENIX Annual Technical Conference 2008 (USENIX ’08)


A copy of the paper is attached to this posting.largescale-usenix08.pdf

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