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Measuring Real-World Data Availability
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.
BibTeX
@inproceedings {270813,
author = {Larry Lancaster and Alan Rowe},
title = {Measuring {Real-World} Data Availability},
booktitle = {15th Systems Administration Conference (LISA 2001)},
year = {2001},
address = {San Diego, CA},
url = {https://www.usenix.org/conference/lisa-2001/measuring-real-world-data-availability},
publisher = {USENIX Association},
month = dec
}
author = {Larry Lancaster and Alan Rowe},
title = {Measuring {Real-World} Data Availability},
booktitle = {15th Systems Administration Conference (LISA 2001)},
year = {2001},
address = {San Diego, CA},
url = {https://www.usenix.org/conference/lisa-2001/measuring-real-world-data-availability},
publisher = {USENIX Association},
month = dec
}