| CPC G06F 3/061 (2013.01) [G06F 3/0634 (2013.01); G06F 3/0683 (2013.01)] | 20 Claims |

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1. A method for adjusting performance of a storage system, comprising:
generating a machine learning model based on historical operation data of the storage system, the storage system being used for backing up and restoring data in a client;
determining, by the machine learning model, input/output (I/O) utilization of the storage system for a future time period;
determining, in response to determining that the I/O utilization exceeds a predetermined threshold at a first time instance in the future, an I/O capacity corresponding to the determined I/O utilization based on the determined I/O utilization; and
adjusting the performance of the storage system based on the determined I/O capacity.
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