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:
Jun. 30, 2026

Filed:

Jul. 20, 2022
Applicant:

Jpmorgan Chase Bank, N.a., New York, NY (US);

Inventors:

Katie Lu, London, GB;

Sanket Kamthe, London, GB;

Oleg Rasskazov, Upminster, GB;

Marta-Diana Filimon, London, GB;

Ioana Nistoreanu, London, GB;

Sean Moran, London, GB;

Andrew Mead, Bicester, GB;

Assignee:

JPMORGAN CHASE BANK, N.A., New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/48 (2006.01); G06F 9/50 (2006.01); G06F 18/21 (2023.01);
U.S. Cl.
CPC ...
G06F 9/4887 (2013.01); G06F 9/505 (2013.01); G06F 18/2193 (2023.01);
Abstract

Systems and methods for generating runtime predictions in distributed computer architectures are disclosed. According to one embodiment, a method for generating runtime predictions in a distributed computer architectures may include: (1) receiving, by a runtime prediction computer program executed by an electronic device, training data regarding completion of a plurality of risk compute jobs; (2) extracting, by the runtime prediction computer program, bucketing statistics and instrument level features from the data; (3) training, by the runtime prediction computer program, a machine learning model with the training data, the extracted bucketing statistics, and the instrument level features; (4) receiving, by the runtime prediction computer program, a plurality of jobs for a period of time; and (5) calculating, by the runtime prediction computer program, an instrument cost for each of the jobs using the machine learning model.


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