Capture, conversion, and analysis of an intense NFS workload
Keyword(s): Capture, convert, store, NFS workloads
Abstract: We describe methods to capture, convert, store and analyze NFS workloads that are 20-100* more intense, in terms of operations/day, than any previously published. We describe three techniques that improve capture performance by up to 10* over previous techniques. For conversion, we use a general-purpose format that is both highly space efficient and provides efficient access to the trace data. For analysis, we describe a number of techniques adopted from the database community and some new techniques that facilitate analysis of very large traces. We also describe a number of guidelines for trace collection that should prove useful to future practitioners. Finally, we analyze a commercial feature animation (movie) rendering workload using these techniques and discuss the characteristics of the workload. Our implementation of these techniques is available as open source and the exact anonymized datasets we analyze are available for free download.
Additional Publication Information: Presented at the 7th USENIX Conference on File and Storage Technologies (FAST '09) San Francisco, CA.
External Posting Date: September 21, 2009 [Fulltext]. Approved for External Publication
Internal Posting Date: September 21, 2009 [Fulltext]