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:
Sep. 28, 2021

Filed:

Mar. 04, 2020
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Kunal Rao, Monroe, NJ (US);

Yi Yang, Princeton, NJ (US);

Srimat Chakradhar, Manalapan, NJ (US);

Giuseppe Coviello, Princeton, NJ (US);

Min Feng, Monmouth Junction, NJ (US);

Murugan Sankaradas, Dayton, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/46 (2006.01); G06F 9/48 (2006.01); G06F 9/50 (2006.01); G06F 9/30 (2018.01); G06F 9/4401 (2018.01);
U.S. Cl.
CPC ...
G06F 9/4881 (2013.01); G06F 9/3009 (2013.01); G06F 9/4418 (2013.01); G06F 9/485 (2013.01); G06F 9/5011 (2013.01);
Abstract

A computer-implemented method includes obtaining a usecase specification and a usecase runtime specification corresponding to the usecase. The usecase includes a plurality of applications each being associated with a micro-service providing a corresponding functionality within the usecase for performing a task. The method further includes managing execution of the usecase within a runtime system based on the usecase and usecase runtime specifications to perform the task by serving an on-demand query and dynamically scaling resources based on the on-demand query, including using a batch helper server to employ the usecase specification to load dynamic application instances and connect the dynamic application instances to existing instances, and employ a batch helper configuration to load nodes/machines for execution of the on-demand query.


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