Vmware, Inc.

Zhengxun Wu

Hui Henry Li

Naga Ullas Vankayala Harinathagupta

Hong Li

Luong Duong

Arun Rajan

Jonathan Prince Limhengco

Jaykrishna Babu

A method of processing requests from users of a computer system having software and hardware components, wherein each request includes a description of an software or hardware issue, includes: upon receiving a first request, performing content matching using a first instance of the data model to determine if the issue described in the first request has been previously encountered; executing a machine learning algorithm against a new data set to update a second instance of the data model; after the second instance of the data model has been updated, switching the data model used for performing content matching from the first to the second instance of the data model; and upon receiving a second request after the switch, performing content matching using the second instance of the data model to determine if the issue described in the second request has been previously encountered.

Machine learning-powered resolution resource service for HCI systems

A computer-implemented method and computer system for managing a group of storage devices in a storage system utilizes actual wear levels of the storage devices within the group of storage devices to sort the storage devices in an order. One of the storage devices is then selected as a target storage device based on wear level gaps between adjacent sorted storage devices using a target storage device wearing profile so that write operations from software processes are directed exclusively to the target storage device for a predefined period of time to control wear on the group of storage devices.

System and method for managing a group of storage devices using their wear levels and a target wearing profile

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Sunnyvale, CA, United States of America

Zhengxun Wu