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.
Patent No.:
Date of Patent:
Oct. 05, 2021
Filed:
Jun. 24, 2019
Amazon Technologies, Inc., Seattle, WA (US);
Malcolm Featonby, Sammamish, WA (US);
John Merrill Phillips, Seattle, WA (US);
Leslie Johann Lamprecht, Seattle, WA (US);
Roberto Pentz De Faria, Sammamish, WA (US);
Hou Liu, Issaquah, WA (US);
Umesh Chandani, Seattle, WA (US);
Ladan Mahabadi, Seattle, WA (US);
Letian Feng, Seattle, WA (US);
Amazon Technologies, Inc., Seattle, WA (US);
Abstract
Techniques for an optimization service of a service provider network to provide users with machine-generated narratives that include human-intelligible, credible, and transparent recommendations and rationales for recommended VM instance types. The optimization service may gather various information or data about the workload, such as utilization characteristics of the underlying computing resources, and decompose the workloads through a number of dimensions that can be used to describe the workload. Further, the optimization service may analyze the utilization characteristics and/or other data to determine more optimized VM instance types for the workloads that are to be recommended to the users, and also rationales that describes why each recommendation is an appropriate fit for the workload being assessed. Using this information, the optimization service may generate narratives that include a description of the workload behaviors and utilization patterns, a set of recommendations, and supporting narrative or rationales for each of the recommendations.