Measuring Real-World Data Availability
نویسندگان
چکیده
This paper examines how server marketing claims of high reliability (e.g., 99.999%) stack up against real world data measurements. Our goals were to: measure discretionary NFS data availability, compare data availability between standalone and clustered systems, and draw some conclusions about best practices for customers. We explain our methodology for measuring, filtering, and categorizing availability-related data. Through careful data and error analysis, we arrive at discretionary NFS data availability estimates for NetApp filers in the real world. We conclude that NetApp clusters provide over fournines availability in the field.
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