Microsoft Technology Licensing, LLC

Prateek Punj

Avnish Kumar Chhabra

Michael Charles Stephenson

Huaming Huang

Pallavi Baral

Bhuvan Malladihalli Shashidhara

Hanyi Xu

Yilan Zhang

Mayank Meghwanshi

Juan-Arturo Herrera Ortiz

Sisi Xiong

Abhishek Kumar

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.

Smart deployment using graph optimization

Growing community of inventors

Bellevue, WA, United States of America

Prateek Punj