公开(公告)号：US20240402921A1

公开(公告)日：2024-12-05

申请号：US18328105

申请日：2023-06-02

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Georg Basil Richard Moshous ,  Adriana Pellegrini Furnielis ,  Marc Henri Coq ,  Sarvesh S. Patel ,  Ebenezer Kofi

IPC: G06F3/06

Abstract: Provided are techniques for model generation for determining optimal components of a storage subsystem based on measurements and models. Data for a storage subsystem having a plurality of components is collected, where the data comprises data for application resources, data for workload measurements, metadata, tags, and policies, and wherein the data comprises volume specific characteristics and storage functions. A plurality of models are generated based on the collected data, where each of the models includes a subset of the plurality of components of the storage subsystem. Characteristics for a new storage subsystem are received. The characteristics are matched to a model of the plurality of models. A recommendation of components of the matching model is created to create the new storage subsystem.