公开(公告)号：US20220197757A1

公开(公告)日：2022-06-23

申请号：US17174881

申请日：2021-02-12

Applicant: EMC IP Holding Company LLC

Inventor： Mark Malamut ,  Arun Murti ,  Stephen Smaldone

IPC: G06F11/14 ,  G06F8/61

Abstract: Automatically updating operating system and application programs in a large-scale network using Gold image data. An asset update process receives validation by a user for use of an updated program comprising new Gold image data. The process automatically updates the previous version of the updated version with the updated program to generate new user content data, without requiring further user intervention by using a defined tag linking the new Gold image data with previous Gold image data for the older version of the program. The Gold image data is stored in a central data protection target storage separate from data protection target storage for the user content data.

公开(公告)号：US20220197754A1

公开(公告)日：2022-06-23

申请号：US17124957

申请日：2020-12-17

Applicant: EMC IP Holding Company LLC

Inventor： Mark Malamut ,  Stephen Smaldone

IPC: G06F11/14 ,  G06F16/2455

Abstract: Reducing backup data by providing a data protection target for storing content data from clients running operating system and applications, and a common data protection target (CDPT) separate from the data protection target for storing Gold image data for the operating system and applications. During backup, user content data is copied from the client to the data protection target, and Gold image data is copied to the CDPT. It is also referenced in the DP target to prevent redundant storage. During backup, the CDPT is queried to determine if the Gold image exists, and if so, the DP target does not store the Gold image data in the DP target, but uses the reference to indicate the location of the Gold image data corresponding to the backed up content data. During a restore, the restore stream is built from the DP target and CDPT to combine user content data and Gold image data.

公开(公告)号：US10540202B1

公开(公告)日：2020-01-21

申请号：US15719324

申请日：2017-09-28

Applicant: EMC IP Holding Company LLC

Inventor： Stephen Smaldone ,  Ian Wigmore ,  Steven Chalmer ,  Jonathan Krasner ,  Chakib Ouarraoui

IPC: G06F9/48 ,  G06F9/50

Abstract: Embodiments are described for a executing a processing job using one or more nodes of a storage area network using computing resources on the SAN that are predicted to be idle. A predictive model is generated by monitoring idle states of resources of nodes of the SAN and using machine learning to build the predictive model. A scheduler executes jobs on one or more nodes of the SAN with sufficient predicted idle resources to process the job, in accordance with resource requirements and job attributes in a manifest of the job. If a job cannot be completed during a window of time that the necessary resources are predicted to be idle, or if one or more resources become unavailable, the job can be paused and resumed, migrated to another node, or restarted at a later time when the required resources to complete the job are predicted to be idle.