US 10,853,139 B2 · Dynamic workload management based on predictive modeling and recommendation engine for storage systems

Abstract

Allocation of storage array hardware resources between host-visible and host-hidden services is managed to ensure that sufficient hardware resources are allocated to host-visible services. Information obtained from monitoring real-world operation of the storage array is used to generate a model of the storage array. The generated model represents temporal dependencies between storage array hardware, host-visible services, and host-hidden services. Because the model includes information gathered over time and represents temporal dependencies, future occurrence of repeating variations of storage-related service usage and requirements can be predicted. The model may be used to generate hardware recommendations and dynamically re-allocate existing hardware resources to more reliably satisfy a predetermined level of measured performance.

Claims20

Dependent claims

Apparatus comprising:

a storage array comprising:
a plurality of interconnected computing nodes, each of the computing nodes comprising at least one processor and non-transitory memory, and a plurality of groups of data storage drives, each group of data storage drives connected with one of the computing nodes, wherein the storage array maintains a production volume comprising contiguous logical block addresses that map to non-contiguous addresses of the data storage drives;
and
management instructions stored on the non-transitory memory and run on the at least one processor comprising:
instructions that identify dependencies between storage array hardware, host-visible storage-related services provided by the storage array, and host-hidden storage-related services provided by the storage array;
instructions that generate a model of the storage array from the identified dependencies;
and
instructions that re-allocate storage array hardware based on the model.

5 more elements

Dependencies are inferred from the claim text.

Dynamic workload management based on predictive modeling and recommendation engine for storage systems

Life of this patent

Dynamic workload management based on predictive modeling and recommendation engine for storage systems

Life of this patent

Abstract

Claims20