公开(公告)号：US11861352B2

公开(公告)日：2024-01-02

申请号：US17565191

申请日：2021-12-29

Applicant: Microsoft Technology Licensing, LLC

Inventor： Pallavi Baral ,  Prateek Punj ,  Yilan Zhang ,  Bhuvan Malladihalli Shashidhara ,  Hanyi Xu ,  Abhishek Kumar ,  Mayank Meghwanshi ,  Sisi Xiong ,  Michael Stephenson ,  Avnish Chhabra ,  Juan-Arturo Herrera Ortiz ,  Huaming Huang

IPC: G06F8/65 ,  G06N20/00

CPC classification number: G06F8/65 ,  G06N20/00

Abstract: The present concepts may automate and optimize deployment to a cloud computing fleet. Artificial intelligence and/or optimization algorithms may be used to find optimal deployment parameters (e.g., deployment order of computers in the fleet) that minimize deployment time and minimize deployment risk. For example, machine-learning prediction models may be used to generate a shortest path graph problem models a deployment planning problem. Then, optimization algorithms may be used to efficiently find approximations of Pareto-optimal solutions to the shortest path graph problem. Depending on the preferred level of time and risk, one of the solutions may be used to run the deployment.