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:
Nov. 19, 2024

Filed:

Oct. 01, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Meng Wan, Beijing, CN;

Li Na Guo, Beijing, CN;

Wang Liu, Beijing, CN;

Xue Rui Hu, Beijing, CN;

Mei Qin Si, Beijing, CN;

Hong Yan Zhang, Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2023.01); G06F 18/10 (2023.01); G06F 18/21 (2023.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06N 3/08 (2023.01); H04L 67/133 (2022.01); H04L 67/51 (2022.01);
U.S. Cl.
CPC ...
G06N 3/04 (2013.01); G06F 18/10 (2023.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06F 18/2178 (2023.01); G06N 3/08 (2013.01); H04L 67/133 (2022.05); H04L 67/51 (2022.05);
Abstract

Described are techniques for predictive microservice activation. The techniques include training a machine learning model using a plurality of sequences of coordinates, where the plurality of sequences of coordinates are respectively based upon a corresponding plurality of series of vectors generated from historical usage data for an application and its associated microservices. The techniques further include inputting a new sequence of coordinates representing a series of application operations to the machine learning model. The techniques further include identifying a predicted microservice for future utilization based on an output vector generated by the machine learning model. The techniques further include activating the predicted microservice prior to the predicted microservice being called by the application.


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