Leveraging snapshot for time series pattern analysis prediction

A system comprising:

• a memory;
• and
• at least one processor operatively coupled to the memory, the at least one processor being configured to perform the operations of:
• 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, the plurality of snapshots identifying different respective states of the storage objects, and the plurality of APRs identifying access patterns that are driving transitions between the respective states of the storage objects;
• 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,
• wherein the generation of the plurality of APRs is synchronized with the generation of the plurality of snapshots, such that any of the plurality of snapshots and the snapshot's associated APR are generated in response to the same snapshot generation event, and the snapshot's associated APR is populated with one or more signatures that are generated before the snapshot, each of the one or more signatures corresponding to a respective access request that is received at the storage system.

A non-transitory computer-readable medium storing one or more processor-executable instructions, which when executed by at least one processor cause the at least one processor to perform the operations of:

• 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, the plurality of snapshots identifying different respective states of the storage objects, the plurality of APRs identifying access patterns that are driving transitions between the respective states of the storage objects;
• 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,
• wherein the generation of the plurality of APRs is synchronized with the generation of the plurality of snapshots, such that any of the plurality of snapshots and the snapshot's associated APR are generated in response to the same snapshot generation event, and the snapshot's associated APR is populated with one or more event signatures that are generated before the snapshot, each of the one or more signatures corresponding to respective access request that is received at the storage system.