Dell Products Inc.

Wen Yu Tang

Xiang Huang

Chao Chen

Yu Wang

Muzhar S Khokhar

Donald Mace

Han Gao

Jun Zhan

Le Wei Ji

Somchai Pitchayanonnetr

A method and system for predicting upgrade completion times in hyper-converged infrastructure (HCI) environments. Specifically, the method and system disclosed herein entail applying machine learning to forecast these upgrade completion times based on select static and dynamic indicators deduced to significantly impact the performance of upgrade processes across node clusters in HCI environments.

Method and system for predicting upgrade completion times in hyper-converged infrastructure environments

The present disclosure provides for managing a software function. The system determines that a service instance is to call the software function and, in response, initiates a call request for the software function to a management component The call request includes identification information and an operation parameter of the software function, with the software function shared by a service instance and at least one further service instance deployed and stored in a converged infrastructure architecture independently from the service instance and the at least one further service instance. The system receives a response to the call request from the management component, with the response including a result of execution of the software function based on the operation parameters. The system prevents the need to deploy copies of a common software function of service instances, conserving performance and storage space, and enabling more convenient maintenance, updates, and software function calls.

Methods, devices and computer program products for managing software function

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Shanghai, China

Wen Yu Tang