Software Lifecycle Management For A Storage System

    公开(公告)号:US20220391124A1

    公开(公告)日:2022-12-08

    申请号:US17877979

    申请日:2022-07-31

    Abstract: Software lifecycle management for a storage system, including: generating, based on user input, a user-defined software lifecycle management policy for software on one or more storage systems; identifying, in dependence upon on a software configuration of the one or more storage systems, one or more candidate updates for the software; and generating, in dependence upon the user-defined software lifecycle management policy, lifecycle management data that identifies one or more conforming updates from among the one or more candidate updates.

    Rebalancing In A Fleet Of Storage Systems Using Data Science

    公开(公告)号:US20220365827A1

    公开(公告)日:2022-11-17

    申请号:US17356258

    申请日:2021-06-23

    Abstract: Rebalancing in a fleet of storage systems using data science including generating, by the cloud-based rebalancing system, a plurality of workload migration scenarios to address a detected workload imbalance among a plurality of workloads in a fleet of storage systems; determining, by the cloud-based rebalancing system, a plurality of movement vectors for each workload migration scenario, wherein each of the plurality of movement vectors describes a consideration factor for migrating a workload of the plurality of workloads within the fleet of storage systems; and generating, by the cloud-based rebalancing system, at least one rebalancing proposal based on the plurality of movement vectors for each workload migration scenario.

    Managing System Assets Using Generative Artificial Intelligence

    公开(公告)号:US20250013394A1

    公开(公告)日:2025-01-09

    申请号:US18763637

    申请日:2024-07-03

    Inventor: PRAKASH DARJI

    Abstract: Managing system assets using generative artificial intelligence, including: gathering data describing characteristics of a plurality of storage media; and generating, by a generative artificial intelligence (AI) model, based on the data and one or more attributes of a particular storage medium, a characterization of the particular storage medium.

    Modeling Workload Migration In A Fleet Of Storage Systems

    公开(公告)号:US20240427645A1

    公开(公告)日:2024-12-26

    申请号:US18827270

    申请日:2024-09-06

    Abstract: Rebalancing in a fleet of storage systems using data science including generating, by the cloud-based rebalancing system, a plurality of workload migration scenarios to address a detected workload imbalance among a plurality of workloads in a fleet of storage systems; determining, by the cloud-based rebalancing system, a plurality of movement vectors for each workload migration scenario, wherein each of the plurality of movement vectors describes a consideration factor for migrating a workload of the plurality of workloads within the fleet of storage systems; and generating, by the cloud-based rebalancing system, at least one rebalancing proposal based on the plurality of movement vectors for each workload migration scenario.

    Dynamic Storage Instance Sizing For Application Deployments

    公开(公告)号:US20230214233A1

    公开(公告)日:2023-07-06

    申请号:US17565657

    申请日:2021-12-30

    Inventor: PRAKASH DARJI

    CPC classification number: G06F9/4451 G06F8/60

    Abstract: Dynamic storage instance sizing for application deployments, including: deploying, based on a profile, an instance of a database application, wherein the profile defines one or more characteristics for the instance of the database application; monitoring one or more usage metrics for the instance of the database application; and updating, in the profile, the one or more characteristics based on the usage metrics.

    Fingerprint-Based Database Container Deployment

    公开(公告)号:US20220365821A1

    公开(公告)日:2022-11-17

    申请号:US17877382

    申请日:2022-07-29

    Abstract: Fingerprint-based database container deployment, including: identifying, in dependence upon data collected from one or more storage systems in a storage environment, characteristics of a plurality of database workloads on the one or more storage systems; identifying, in dependence upon the characteristics, fingerprint information for a plurality of database workload types; and deploying, in dependence upon the fingerprint information for a particular database workload type, a database container for the particular database workload type in the storage environment.

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