Test System and Methodology
We utilize a new approach to HDD and SSD storage testing for our Enterprise Test Bench that is designed specifically to target long-term performance with a high level of granularity. Many testing methods record peak and average measurements during the test period. These average values give a basic understanding of performance, but they fall short in providing the clearest view possible of I/O Quality of Service (QoS).
'Average' results do little to indicate performance variability experienced during actual deployment. The degree of variability is especially pertinent as many applications can hang or lag as they wait for I/O requests to complete. This testing methodology illustrates performance variability and includes average measurements during the measurement window.
While under load, all storage solutions deliver variable levels of performance. While this fluctuation is normal, the degree of variability is what separates enterprise storage solutions from typical client-side hardware. Providing ongoing measurements from our workloads with one-second reporting intervals illustrates product differentiation in relation to I/O QoS. Scatter charts give readers a basic understanding of I/O latency distribution without directly observing numerous graphs.
Consistent latency is the goal of every storage solution, and measurements such as Maximum Latency only illuminate the single longest I/O received during testing. This can be misleading as a single 'outlying I/O' can skew the view of an otherwise superb solution. Standard Deviation measurements consider latency distribution, but they do not always effectively illustrate I/O distribution with enough granularity to provide a clear picture of system performance. We utilize high-granularity I/O latency charts to illuminate performance during our test runs.
Our testing regimen follows SNIA principles to ensure consistent, repeatable testing. We measure power consumption during precondition runs. This provides measurements in time-based fashion, with results every second, to illuminate the behavior of power consumption in steady-state conditions. Power consumption can cost more over the life of the device than the initial acquisition price of the hardware itself, which significantly affects the TCO of the storage solution. We also present IOPS-to-Watts measurements to highlight efficiency.
Our test pool features SSDs of varying capacity, and it is important to bear this in mind when viewing results. The Toshiba PX02SS and PX02SM feature static performance specifications among their different capacity points. This should provide a fair representation of performance in comparison to the HGST SSD800MM. The first page of results will provide the 'key' to understanding and interpreting our new test methodology.
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- Page 1 [Introduction]
- Page 2 [Toshiba PX02SS Internals and Specifications]
- Page 3 [Test System and Methodology]
- Page 4 [4k Random Read/Write]
- Page 5 [8k Random Read/Write]
- Page 6 [128k Sequential Read/Write]
- Page 7 [Database/OLTP and File Server]
- Page 8 [Email Server]
- Page 9 [Final Thoughts]
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