View source for 18300303. SYSTEMS, APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR PARALLEL PROCESSING OF REAL-TIME DATA AND ACCUMULATED DATA simplified abstract (HONEYWELL INTERNATIONAL INC.)

=SYSTEMS, APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR PARALLEL PROCESSING OF REAL-TIME DATA AND ACCUMULATED DATA=


==Organization Name==

[[:Category:HONEYWELL INTERNATIONAL INC.|HONEYWELL INTERNATIONAL INC.]]


[[Category:HONEYWELL INTERNATIONAL INC.]]

==Inventor(s)==

[[:Category:Bhabesh Chandra Acharya of Bangalore (IN)|Bhabesh Chandra Acharya of Bangalore (IN)]][[Category:Bhabesh Chandra Acharya of Bangalore (IN)]]

[[:Category:Santimreddigari Manjunatha Reddy of Madanapalle (IN)|Santimreddigari Manjunatha Reddy of Madanapalle (IN)]][[Category:Santimreddigari Manjunatha Reddy of Madanapalle (IN)]]

==SYSTEMS, APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR PARALLEL PROCESSING OF REAL-TIME DATA AND ACCUMULATED DATA - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18300303 titled 'SYSTEMS, APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR PARALLEL PROCESSING OF REAL-TIME DATA AND ACCUMULATED DATA

'''Simplified Explanation''': 

This patent application describes systems and methods for parallel processing of real-time data and accumulated data, particularly in the context of a computing device affected by a fault. The method involves receiving real-time data and accumulated data from the computing device, directing them to separate processing units, and then routing the processed data to databases.

'''Key Features and Innovation''':
* Parallel processing of real-time data and accumulated data
* Handling of data from a fault-affected computing device
* Directed processing of real-time and accumulated data
* Routing of processed data to databases

'''Potential Applications''':
The technology can be applied in various industries such as telecommunications, finance, healthcare, and manufacturing for efficient data processing and storage.

'''Problems Solved''':
This technology addresses the challenge of processing real-time data and accumulated data simultaneously, especially in the presence of faults in computing devices.

'''Benefits''':
* Improved data processing efficiency
* Enhanced fault tolerance in computing systems
* Streamlined data routing and storage

'''Commercial Applications''':
The technology can be utilized in industries requiring real-time data processing, fault tolerance, and efficient data storage solutions.

'''Prior Art''''':
Readers can explore prior art related to parallel processing of data, fault tolerance in computing systems, and database routing algorithms.

'''Frequently Updated Research''':
Stay updated on research related to parallel processing, fault tolerance, and database management for the latest advancements in the field.

'''Questions about Parallel Processing of Real-Time Data and Accumulated Data''':
1. How does the technology ensure efficient processing of real-time data and accumulated data simultaneously?
2. What are the potential challenges in implementing parallel processing systems for data handling?


==Original Abstract Submitted==

Systems, apparatuses, methods, and computer program products for parallel processing of real-time data and accumulated data are provided. For example, a method provided herein may include determining that a computing device is affected by a fault during a first time period. The method may include receiving real-time data from the computing device via a network during a second time period. The method may include receiving accumulated data from the computing device via a network during the second time period. The method may include directing the real-time data to a real-time data processing unit and the accumulated data to an accumulated data processing unit. The method may include processing the real-time data with the real-time data processing unit and the accumulated data with the accumulated data processing unit. The method may include routing the real-time data and the accumulated data following the processing to one or more databases.



[[Category:G06F11/07]]
[[Category:CPC_G06F11/0784]]