Leveraging snapshot for time series pattern analysis prediction

摘要

A method is disclosed comprising: generating a plurality of snapshots, each of the snapshots representing a state of one or more storage objects in a storage system; generating a plurality of access pattern records (APRs) for the storage objects, each APR being associated with a different respective one of the plurality of snapshots, each APR indicating a characteristic of workload of the storage system in a period preceding the generation of the APR's associated snapshot; detecting a workload trend for the storage objects, the workload trend being detected by using a workload prediction model that is trained based on the plurality of APRs; and configuring the storage system based on the workload trend, the configuring including allocating additional resources for servicing access requests to the storage objects when the workload trend is a rising workload trend.