公开(公告)号：US12106116B2

公开(公告)日：2024-10-01

申请号：US18220120

申请日：2023-07-10

Applicant: Cohesity, Inc.

Inventor： Ayushi Jain ,  Vedant

IPC: G06F9/4401 ,  G06F9/455 ,  G06F12/0862 ,  G06N20/00

CPC classification number: G06F9/4401 ,  G06F9/45558 ,  G06F12/0862 ,  G06N20/00 ,  G06F2009/45583 ,  G06F2009/45591

Abstract: An indication that a virtual machine is starting is received. Requested data blocks associated with the virtual machine are identified. Based on identifiers of the requested data blocks, a trained learning model is used to predict one or more subsequent data blocks likely to be requested while the virtual machine is starting. The one or more subsequent data blocks are caused to be preloaded in a cache storage. It is determined that the one or more predicted subsequent data blocks are incorrect. It is determined that an end of a boot sequence associated with the virtual machine has been reached. In response to a determination that the end of the boot sequence associated with the virtual machine has been reached, the boot sequence associated with the virtual machine is used to update the trained learning model.

公开(公告)号：US20230350691A1

公开(公告)日：2023-11-02

申请号：US18220120

申请日：2023-07-10

Applicant: Cohesity, Inc.

Inventor： Ayushi Jain ,  Vedant

IPC: G06F9/455 ,  G06N20/00 ,  G06F9/4401 ,  G06F12/0862

CPC classification number: G06F9/4401 ,  G06F9/45558 ,  G06F12/0862 ,  G06N20/00 ,  G06F2009/45583 ,  G06F2009/45591

Abstract: An indication that a virtual machine is starting is received. Requested data blocks associated with the virtual machine are identified. Based on identifiers of the requested data blocks, a trained learning model is used to predict one or more subsequent data blocks likely to be requested while the virtual machine is starting. The one or more subsequent data blocks are caused to be preloaded in a cache storage. It is determined that the one or more predicted subsequent data blocks are incorrect. It is determined that an end of a boot sequence associated with the virtual machine has been reached. In response to a determination that the end of the boot sequence associated with the virtual machine has been reached, the boot sequence associated with the virtual machine is used to update the trained learning model.

公开(公告)号：US11740910B2

公开(公告)日：2023-08-29

申请号：US17949927

申请日：2022-09-21

Applicant: Cohesity, Inc.

Inventor： Ayushi Jain ,  Vedant

IPC: G06F9/4401 ,  G06F9/455 ,  G06F12/0862 ,  G06N20/00

CPC classification number: G06F9/4401 ,  G06F9/45558 ,  G06F12/0862 ,  G06N20/00 ,  G06F2009/45583 ,  G06F2009/45591

Abstract: An indication that a virtual machine is starting is received. Requested data blocks associated with the virtual machine are identified. Based on identifiers of the requested data blocks, a trained learning model is used to predict one or more subsequent data blocks likely to be requested while the virtual machine is starting. The one or more subsequent data blocks are caused to be preloaded in a cache storage.

公开(公告)号：US11487549B2

公开(公告)日：2022-11-01

申请号：US16710505

申请日：2019-12-11

Applicant: Cohesity, Inc.

Inventor： Ayushi Jain ,  Vedant

IPC: G06F9/4401 ,  G06F9/455 ,  G06F12/0862 ,  G06N20/00

Abstract: An indication that a virtual machine is starting is received. Requested data blocks associated with the virtual machine are identified. Based on identifiers of the requested data blocks, a trained learning model is used to predict one or more subsequent data blocks likely to be requested while the virtual machine is starting. The one or more subsequent data blocks are caused to be preloaded in a cache storage.

公开(公告)号：US20230019096A1

公开(公告)日：2023-01-19

申请号：US17949927

申请日：2022-09-21

Applicant: Cohesity, Inc.

Inventor： Ayushi Jain ,  Vedant

IPC: G06F9/4401 ,  G06F12/0862 ,  G06N20/00 ,  G06F9/455

Abstract: An indication that a virtual machine is starting is received. Requested data blocks associated with the virtual machine are identified. Based on identifiers of the requested data blocks, a trained learning model is used to predict one or more subsequent data blocks likely to be requested while the virtual machine is starting. The one or more subsequent data blocks are caused to be preloaded in a cache storage.

公开(公告)号：US20210182075A1

公开(公告)日：2021-06-17

申请号：US16710505

申请日：2019-12-11

Applicant: Cohesity, Inc.

Inventor： Ayushi Jain ,  Vedant

IPC: G06F9/4401 ,  G06F9/455 ,  G06N20/00 ,  G06F12/0862

Abstract: An indication that a virtual machine is starting is received. Requested data blocks associated with the virtual machine are identified. Based on identifiers of the requested data blocks, a trained learning model is used to predict one or more subsequent data blocks likely to be requested while the virtual machine is starting. The one or more subsequent data blocks are caused to be preloaded in a cache storage.