Microsoft Technology Licensing, LLC

XingYu Liu

Subramaniam Venkatraman Krishnan

Yiwen Zhu

Ya Lin

Sreraman Narasimhan

Joyce Yu Cahoon

Haitao Song

Neetu Singh

Raymond Truong

Maria Alexandra Ciortea

Pratyush Rawat

Wenjing Wang

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.

Cloud-based compute resource configuration recommendation and allocation for database migration

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Seattle, WA, United States of America

XingYu Liu