Network Data Structure Synchronization for Real-Time Distributed Updates

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Solution Overview

Problem

Challenges exist in efficiently sharing synchronized information across multiple computing devices, particularly in real-time network environments with diverse formats and protocols, making it difficult to provide up-to-date information during network events.

Innovation Solution

The system establishes network communication sessions with client devices, transmits instructions for network application formatting, and updates data structures based on intersection criteria and metrics, using random numbers to determine transmission values and synchronize data structures for efficient and accurate data transfer.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If data structures are synchronized across multiple computing devices in real-time network environments, then information sharing efficiency is improved, but network complexity and synchronization overhead increase

Engineering Contradiction:
Improveinformation sharing efficiencyVSAvoidnetwork complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system segments the network into multiple zones with different synchronization requirements. Critical data structures are synchronized in real-time while less critical data uses asynchronous updates. This segmentation allows the system to maintain high information sharing efficiency for essential data while reducing overall network complexity by applying different synchronization strategies to different data types.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically changes synchronization parameters based on network conditions, data criticality, and device capabilities. When network bandwidth is sufficient, real-time synchronization is enabled; when bandwidth is constrained, the system switches to asynchronous or periodic synchronization. This parameter adaptation resolves the contradiction by adjusting synchronization intensity to match available network resources.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If synchronized data structures are maintained across distributed devices, then data accuracy is improved, but network bandwidth consumption increases

Engineering Contradiction:
Improvedata accuracyVSAvoidnetwork bandwidth consumption
Core Design Contradiction:
Measurement precisionVSLoss of energy

Solution Approach 1:

The system extracts and transmits only the specific data elements that have changed since the last synchronization, rather than transmitting entire data structures. This selective extraction maintains data accuracy by ensuring all devices have the latest critical information while significantly reducing network bandwidth consumption by sending only necessary updates.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies partial synchronization to non-critical data structures, updating them less frequently or only when changes exceed a threshold. This partial action approach maintains sufficient data accuracy for operational needs while reducing overall bandwidth consumption by avoiding unnecessary transmission of data that doesn't require frequent updates.

Inventive Principle:
Principle #16Partial or excessive action

3Speed

If real-time information sharing is implemented across network events, then responsiveness is improved, but system resource consumption increases

Engineering Contradiction:
ImproveresponsivenessVSAvoidsystem resource consumption
Core Design Contradiction:
SpeedVSUse of energy by moving object

Solution Approach 1:

The system implements periodic synchronization intervals for different data structures based on their update frequency and criticality. Critical data structures are synchronized with short intervals to maintain responsiveness, while less critical data uses longer intervals to reduce resource consumption. This periodic approach with varying intervals resolves the contradiction by matching synchronization frequency to actual data change patterns.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system dynamically adjusts synchronization frequency and resource allocation based on real-time network conditions, device battery status, and data criticality. When devices are on AC power and network conditions are good, real-time synchronization is enabled; when battery power is low or network is congested, the system reduces synchronization frequency. This dynamic adaptation maintains responsiveness when possible while conserving resources when necessary.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20260067372A1Systems and methods for synchronizing data structures in computer networks and distributed computing environments
Publication Date: 2026.03.05 DK CROWN HOLDINGS INC
  • US20260067372A1 patent drawing
  • US20260067372A1 patent drawing
  • US20260067372A1 patent drawing

AI summary

Systems and methods for synchronizing data structures in computer networks and distributed computing environments are disclosed. A system can provide a network resource to a client device corresponding to a network profile, establish a network communication session with the client device, and transmit instructions for network application formatting during the network communication session. The system can receive a second request for a network exchange during the network communication session. The system can determine that a path for an object of the network communication session satisfies at least one intersection criterion, the at least one intersection criterion associated with at least one second transmission value. The system can update a second data structure of the network profile.