公开(公告)号：US20230029888A1

公开(公告)日：2023-02-02

申请号：US17556781

申请日：2021-12-20

Applicant: Microsoft Technology Licensing, LLC

Inventor： Wenjing WANG ,  Joyce Yu CAHOON ,  Yiwen ZHU ,  Ya LIN ,  Subramaniam Venkatraman KRISHNAN ,  Neetu SINGH ,  Raymond TRUONG ,  XingYu LIU ,  Maria Alexandra CIORTEA ,  Sreraman NARASIMHAN ,  Pratyush RAWAT ,  Haitao SONG

IPC: G06F9/50 ,  G06F16/21

Abstract: Methods, systems, apparatuses, and computer-readable storage mediums described herein are directed to determining and recommending an optimal compute resource configuration for a cloud-based resource (e.g., a server, a virtual machine, etc.) for migrating a customer to the cloud. The embodiments described herein utilize a statistically robust approach that makes recommendations that are more flexible (elastic) and account for the full distribution of the amount of resource usage. Such an approach is utilized to develop a personalized rank of relevant recommendations to a customer. To determine which compute resource configuration to recommend to the customer, the customer’s usage profile is matched to a set of customers that have already migrated to the cloud. The compute resource configuration that reaches the performance most similar to the performance of the configurations utilized by customers in the matched set is recommended to the user.