Application performance on a local clustered system can be affected by the use of FlashCopy, volume mirroring, and thin-provisionedvolumes for storage systems.
The FlashCopy, volume mirroring, and thin-provisionedvolume functions can all have a negative impact on system performance. The impact depends on the type of I/O taking place, and is estimated using a weighting factor from Table 1.
Type of I/O (to volume) | Impact on I/O weighting | FlashCopy weighting | Volume mirroring weighting | Thin-provisioned weighting |
---|---|---|---|---|
None or minimal | Insignificant | 0 | 0 | 0 |
Read only | Insignificant | 0 | 0 | 0.25 * Sv |
Sequential read and write | Up to 2 x I/O | 2 * F | CV | 0.25 * Sc |
Random read and write | Up to 15 x I/O | 14 * F | CV | 0.25 * Sc |
Random write | Up to 50 x I/O | 49 * F | CV | 0.25 * Sc |
Notes:
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I/O rate = (I/O capacity) / ( V + weighting factor for FlashCopy + weighting factor for volume mirroring + weighting factor for thin-provisioned)For example, consider 20 volumes with an I/O capacity of 5250, a FlashCopy weighting of 28, a mirroring weighting of 5, and a thin-provisioned weighting of 0.25. The I/O rate per volume is 5250 / (20 + 28 + 5 + 2.5) = 94.6. This estimate is an average I/O rate per volume; for example, half of the volumes could be running at 200 I/O operations per second (IOPs), and the other half could be running at 20 IOPs. This would not overload the system, however, because the average load is 94.6.
If the average I/O rate to the volumes in the example exceeds 94.6, the system would be overloaded. As approximate guidelines, a heavy I/O rate is 200, a medium I/O rate is 80, and a low I/O rate is 10.
With volume mirroring, a single volume can have multiple copies in different storage pools. The I/O rate for such a volume is the minimum I/O rate calculated from each of its storage pool.
If system storage is overloaded, you can migrate some of the volumes to storage pools with available capacity.