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Input-output Performance Evaluation
University of California, Berkeley. Computer Science Division
Peter Ming-Chien Chen
其他書名
Self-scaling Benchmarks, Predicted Performance
出版
University of California, Berkeley
, 1992
URL
http://books.google.com.hk/books?id=SmpMAQAAMAAJ&hl=&source=gbs_api
註釋
The self-scaling benchmark helps the evaluator gain insight into the system's performance by displaying how performance varies against each of five workload parameters: amount of file space, request size, fraction of reads, fraction of sequential accesses, and number of simultaneous accesses. The utility of the benchmark is demonstrated by running it on a wide variety of I/O systems, ranging from a single disk, low-end workstation to a mini-supercomputer with an array of four disks. On each system, the benchmark helps provide performance insights, such as the size of the file cache, the performance increases due to larger requests, the file cache's write policy, and the benefits of higher workload concurrency.