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:
Jul. 18, 2023

Filed:

Nov. 24, 2020
Applicant:

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

Inventors:

Sreenivasa Rao Pamidala, McLean, VA (US);

Jayachandu Bandlamudi, Guntur, IN;

Gandhi Sivakumar, Bentleigh, AU;

Ernese Norelus, Changi, SG;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G06F 9/54 (2006.01); G06F 9/22 (2006.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06F 9/22 (2013.01); G06F 9/5072 (2013.01); G06F 9/5077 (2013.01); G06F 9/541 (2013.01); G06F 18/213 (2023.01); G06F 18/2155 (2023.01);
Abstract

Performing container scaling and migration for container-based microservices is provided. A first set of features is extracted from each respective microservice of a plurality of different microservices. A number of containers required at a future point in time for each respective microservice of the plurality of different microservices is predicted using a trained forecasting model and the first set of features extracted from each respective microservice. A scaling label and a scaling value are assigned to each respective microservice of the plurality of different microservices based on a predicted change in a current number of containers corresponding to each respective microservice according to the number of containers required at the future point in time for each respective microservice. The current number of containers corresponding to each respective microservice of the plurality of different microservices is adjusted based on the scaling label and the scaling value assigned to each respective microservice.


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