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
Inventor(s)
Bhabesh Chandra Acharya of Bangalore (IN)
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.
