Data Communication Optimization Module for Mass Data Transfer
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Solution Overview
Problem
Current data synchronization and communication technologies face challenges in efficiently managing massive data migration and synchronization, particularly at remote sites with limited or slow data connection speeds, leading to bottlenecks in data transport and increased costs due to high data usage.
Innovation Solution
A system comprising a device with a switch, storage module, data intercept module, and data communication optimization module, which deduplicates, compresses, and optimizes data for intelligent routing, utilizing primary and secondary connectivity systems to ensure continuous and faster data synchronization, even in remote locations with unreliable connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is continuously collected and transmitted from remote sites, then data synchronization is improved, but data connection speeds become a bottleneck
Solution Approach 1:
The patent extracts and removes duplicate data blocks before transmission. The system identifies identical data blocks across multiple sources and transmits only unique blocks, significantly reducing the total data volume that needs to be transmitted over slow connections while maintaining complete data synchronization at remote sites.
Solution Approach 2:
The patent changes the parameter of data representation by storing and transmitting data in block-based formats with metadata identifiers. Instead of transmitting full duplicate files or streams, the system transmits compact block references and only the unique data blocks, effectively changing how data is parameterized for transmission.
2Reliability
If all data is transmitted to centralized datacenters, then data synchronization is improved, but data usage costs increase
Solution Approach 1:
The patent extracts duplicate data blocks and eliminates them from transmission streams. By identifying and removing redundant data before transmission to centralized datacenters, the system maintains complete data synchronization while dramatically reducing the quantity of data that consumes expensive bandwidth resources.
Solution Approach 2:
The patent uses a copying approach where instead of transmitting full data blocks, the system creates and transmits lightweight references or pointers to data blocks that already exist in the network or can be obtained from other sources, reducing actual data transmission volume.
3Quantity of substance
If data compression is applied, then data usage is reduced, but processing time increases
Solution Approach 1:
The patent performs preliminary deduplication and compression actions at the source before data leaves the local site. By pre-processing data to remove duplicates and compress it beforehand, the system reduces the burden on transmission and centralized processing, balancing data usage reduction with acceptable processing time through distributed pre-computation.
Data Source
AI summary
Embodiments include systems and methods for mass data optimization. Embodiments include receiving user data from a user server which is being continuously collected locally by the user server and storing the user data on a storage device of a storage module, deduplicating the user data on the storage device, performed by the storage module, compressing the user data on the storage device, performed by the storage module, transparently intercepting the user data by a data intercept module, rerouting the transparently intercepted data to a data communication optimization module for optimization and intelligent routing, optimizing communication by the data communication optimization module so that the intercepted user data is configured differently for data communication to a remote centralized datacenter or server, and transmitting the differently configured data to a centralized datacenter or server.