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:
Oct. 26, 2021

Filed:

Feb. 24, 2020
Applicant:

Real-time Innovations, Inc., Sunnyvale, CA (US);

Inventors:

Gerardo Pardo-Castellote, Santa Cruz, CA (US);

Erin Adams McManus, Sunnyvale, CA (US);

Fernando Crespo Sanchez, San Jose, CA (US);

Assignee:

Real-Time Innovations, Inc., Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/44 (2018.01); G06F 8/40 (2018.01); G06F 8/30 (2018.01);
U.S. Cl.
CPC ...
G06F 8/40 (2013.01); G06F 8/30 (2013.01);
Abstract

A bidirectional conversion method is provided between a memory representation and a network representation of data samples associated with a DDS type in a system using an Object Management Group DDS and a Real-Time Publish Subscribe (RTPS) protocol that is more potent, maintainable, and with a smaller footprint. A first conversion recipe is generated using a type description and a language binding information that transforms any data sample associated with the type description from a first memory representation to a network representation, and this first conversion recipe is generated only once. A second conversion recipe is generated using a type description and language binding information that transforms any data sample associated with the type description from the network representation to a second memory representation, and this second conversion recipe is generated only once. Both generated first and second conversion recipes are then executed on all data samples.


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