Asynchronous Data Synchronization via Hash Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In complex telecommunication environments, ensuring data consistency across multiple systems is challenging due to asynchronous data distribution models, which often lead to divergence and synchronization issues, especially in large-scale systems with high request rates and network failures.
Innovation Solution
A lightweight algorithm that hashes key data elements with a timestamp, creating a reference provisioning hash (UID_SYNC) to quickly validate data accuracy and determine the latest version, allowing systems to self-heal and maintain synchronization without relying on manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If asynchronous event notification model is used for data distribution, then system performance and scalability are improved, but data consistency and synchronization between systems deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where systems periodically query a source system to compare their local data hashes with the source hash. This feedback loop enables detection of data divergence and triggers automatic synchronization requests, resolving the consistency issue while maintaining asynchronous operation benefits
Solution Approach 2:
The system performs self-diagnosis by computing hashes of local data and comparing them with source hashes to detect synchronization issues. When divergence is detected, the system automatically initiates correction by requesting updated data from the source, enabling self-healing without manual intervention
2Productivity
If data is replicated across multiple systems, then system availability and performance are improved, but data synchronization complexity increases
Solution Approach 1:
The patent transforms the complex problem of data comparison into a simple hash value comparison. By changing the parameter from comparing entire data sets to comparing cryptographic hashes, the system achieves efficient synchronization verification with minimal computational overhead
Solution Approach 2:
The patent introduces hash values as an intermediary representation of data state. Instead of directly comparing complex data structures across systems, the hash intermediary enables simple equality checks to determine synchronization status, greatly simplifying the coordination mechanism
3Measurement precision
If entire databases are exported and compared for auditing, then data accuracy verification is improved, but processing time and system resources increase
Solution Approach 1:
The patent extracts the essential verification information from entire databases by computing cryptographic hashes of data subsets. This extraction approach maintains verification accuracy while reducing the amount of data that needs to be transmitted and compared, significantly cutting processing time
Data Source
AI summary
Systems and methods discussed herein are directed to a method within a wireless communication network that includes asynchronous data systems. The method may include a first node within an asynchronous data network receiving from a source node within the asynchronous data network, a data packet comprising a header, wherein the header comprises a hash indicating current data. The first node may compare the current data with stored data stored by the first node. Based at least in part on comparing the current data with stored data stored by the first node, the first node requests synchronization of the first node with the source node.