The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 25, 2025

Filed:

Dec. 20, 2021
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Wenjing Wang, Bellevue, WA (US);

Joyce Yu Cahoon, Woodinville, WA (US);

Yiwen Zhu, San Francisco, CA (US);

Ya Lin, Bellevue, WA (US);

Subramaniam Venkatraman Krishnan, San Jose, CA (US);

Neetu Singh, Duvall, WA (US);

Raymond Truong, Seattle, WA (US);

Xingyu Liu, Seattle, WA (US);

Maria Alexandra Ciortea, Bucharest, RO;

Sreraman Narasimhan, Sammamish, WA (US);

Pratyush Rawat, Snoqualmie, WA (US);

Haitao Song, Sammamish, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G06F 16/21 (2019.01);
U.S. Cl.
CPC ...
G06F 9/5083 (2013.01); G06F 9/5011 (2013.01); G06F 9/5077 (2013.01); G06F 16/214 (2019.01);
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.


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