US 11,947,508 B2
Accumulation-based data object processing
Paul Oglesby, Brooklyn, NY (US); Kalle Tomas Thurin, Sollentuna (SE); and Carl Erik Thornberg, Stockholm (SE)
Assigned to Chicago Mercantile Exchange Inc., Chicago, IL (US)
Filed by Chicago Mercantile Exchange Inc., Chicago, IL (US)
Filed on May 5, 2023, as Appl. No. 18/143,732.
Application 18/143,732 is a continuation of application No. 17/729,126, filed on Apr. 26, 2022, granted, now 11,687,510.
Application 17/729,126 is a continuation of application No. 17/007,937, filed on Aug. 31, 2020, granted, now 11,321,292, issued on May 3, 2022.
Prior Publication US 2023/0273909 A1, Aug. 31, 2023
Int. Cl. G06F 16/00 (2019.01); G06F 16/22 (2019.01); G06F 16/28 (2019.01); H03M 7/30 (2006.01)
CPC G06F 16/22 (2019.01) [G06F 16/285 (2019.01); H03M 7/30 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for data compression for a plurality of data objects, each of data object of the plurality of data objects have a respective fixed data constituent and a respective variable data constituent, the method including:
selecting, by a processor, a fixed data constituent subset corresponding to fixed data constituents for a first subset of the plurality of data objects;
selecting, by the processor, a variable data constituent subset corresponding to variable data constituents for a second subset of the plurality of data objects, the variable data constituent subset having an end date in common and event timing in common;
determining, by the processor, a historical component group for the variable data constituent subset by determining a historical component for at least each variable data constituent in the variable data constituent subset;
determining, by the processor, a net historical magnitude for the variable data constituent subset based on the historical component group; and
compressing, by the processor, the fixed data constituent subset and the variable data constituent subset into a representative data object by defining the representative data object for the fixed data constituent subset and the variable data constituent subset, the representative data object having: a set of matched common properties, the net historical magnitude for the variable data constituent subset, and current net magnitudes for the fixed data constituent subset and the variable data constituent subset, the end date and the event timing being a subset of the set of matched common properties.