We precondition the drive for 16,000 seconds, or 4.44 hours, receiving performance data every second. We plot this data to observe the test subject's descent into steady-state. We plot both IOPS and Latency. We plot IOPS (represented by blue scatter) in thousands and Latency (represented by orange scatter) in milliseconds. We precondition with an inverted (all-write) workload.
We observe steady-state for the 5100 MAX is reached at 11,000 seconds of preconditioning, settling in at about 14,000 IOPS at QD32. We observe steady-state for the 5100 ECO is reached at 13,000 seconds of preconditioning, settling in at about 8,000 IOPS at QD32.
The Web Server workload is a pure random read test with a wide range of file sizes. Our test consists of the following file sizes and corresponding percentage of the overall 100 percent workload file size: 512B = 22 percent, 1KB = 15 percent, 2KB = 8 percent, 4KB = 23 percent, 8KB = 15 percent, 16KB = 2 percent, 32KB = 6 percent, 64KB = 7 percent, 128KB = 1 percent, and 512KB = 1 percent.
Although our Web mix does not represent a completely accurate modern web server workload, it is a very taxing workload that does give us a realistic representation of how well an SSD handles an all-read mix. An all random read workload is the arch nemesis of the write-centric 5100 series. There is no way to tune for this type of workload with Flex Cap because overprovisioning only has a positive effect on write performance. Even the M510DC outperforms the 5100 series at queue depths of up to 16. Conversely, the read-centric Samsung SM863 and PM863 flourish in this type of environment.
Conclusion (TL;DR): The 5100 Series is not provide class-leading performance in an all random read workload environment.
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