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Copy file name to clipboardExpand all lines: azure-stack/hci/concepts/plan-volumes.md
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@@ -77,13 +77,13 @@ Dual parity provides the same fault tolerance as three-way mirroring but with be
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:::image type="content" source="media/plan-volumes/dual-parity.png" alt-text="Diagram shows two volumes labeled data and two labeled parity connected by circular arrows with each volume associated with a server containing physical disks." lightbox="media/plan-volumes/dual-parity.png":::
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Which resiliency type to use depends on the needs of your workload. Here's a table that summarizes which workloads are a good fit for each resiliency type, and the performance and storage efficiency of each resiliency type.
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Which resiliency type to use depends on the performance and capacity requirements for your environment. Here's a table that summarizes the performance and storage efficiency of each resiliency type.
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| Resiliency type | Capacity efficiency | Speed |Workloads |
|**Mirror-accelerated parity**|<br> Depends on proportion of mirror and parity |<br>Much slower than mirror, but up to twice as fast as dual-parity<br> Best for large sequential writes and reads | Archival and backup<br> Virtualized desktop infrastructure |
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|**Dual-parity**|<br>4 servers: 50% <br>16 servers: up to 80% |<br>Highest I/O latency & CPU usage on writes<br> Best for large sequential writes and reads | Archival and backup<br> Virtualized desktop infrastructure |
|**Mirror-accelerated parity**|<br> Depends on proportion of mirror and parity |<br>Much slower than mirror, but up to twice as fast as dual-parity<br> Best for large sequential writes and reads |
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|**Dual-parity**|<br>4 servers: 50% <br>16 servers: up to 80% |<br>Highest I/O latency & CPU usage on writes<br> Best for large sequential writes and reads |
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