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LISA 2001 Abstract
Measuring Real World Data Availability
Larry Lancaster and Alan Rowe, Network Appliance,
Inc.
Abstract
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 four-nines availability in the field.
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