Calculation Device Coefficient Compression for Distributed Node State Management
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Solution Overview
Problem
In distributed systems, the amount of communication data increases with the number of transmission nodes, leading to longer communication times due to the need to collect and manage state information from multiple nodes.
Innovation Solution
A method is introduced where coefficients are calculated based on state information and identification data from transmission nodes with abnormalities, reducing the data amount transmitted by using these coefficients to solve an equation, thereby minimizing communication data between transmission nodes and a reception node.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If state information from all transmission nodes is collected at once, then the reception node can manage the states of all transmission nodes, but the amount of communication data increases and communication time increases
Solution Approach 1:
The patent extracts only the essential information needed for abnormality detection by calculating coefficients from state information and identification information of nodes with abnormalities. Instead of transmitting all state information from all nodes, only the calculated coefficients are transmitted to the reception node, which can then reconstruct the necessary state data. This extraction principle reduces communication data volume while maintaining the ability to manage transmission node states.
2Reliability
If state information from all transmission nodes is collected at once, then the reception node can detect abnormalities in all transmission nodes, but the amount of communication data increases in accordance with the number of transmission nodes
Solution Approach 1:
The patent transforms the state information and identification information into a different parameter form (coefficients of an equation) that contains the same essential information but in a compressed format. By changing the parameter representation from raw state data to calculated coefficients, the communication data amount is reduced while preserving the abnormality detection capability. The reception node uses these coefficients to reconstruct the necessary state information.
Data Source
AI summary
An information processing method for a computer having a memory and a processor coupled to the memory, and the computer is coupled between a plurality of transmission nodes and a reception node. The method including: calculating coefficients of an equation, the coefficients corresponding to a number of transmission nodes having an abnormality among a plurality of transmission nodes, based on a numeric value including state information of transmission nodes having the abnormality and identification information for identifying the transmission nodes having the abnormality; and transmitting the coefficients to a reception node that extracts the numeric value from a solution of the equation using the coefficients.