Intelligent Controller for Computing Load Synchronization
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Solution Overview
Problem
Current computing networks face inefficiencies in synchronizing users and timing data across complex systems, particularly in wireless, satellite, and wire-based networks, leading to delays and inaccuracies in data synchronization.
Innovation Solution
The implementation of an intelligent synchronization method that utilizes a network system with a processor, memory, and communication center to manage and allocate computing resources dynamically based on user interactions and geolocation data, ensuring timely and accurate data synchronization across diverse computing devices and servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional synchronization methods are used in complex computing networks, then device compatibility and broad network support are maintained, but synchronization speed and timing accuracy deteriorate
Solution Approach 1:
The patent segments the synchronization process into multiple independent modules: a synchronization server that manages timing data, client devices that request and receive synchronization, and a distributed timing network that propagates time signals. This segmentation allows each component to be optimized independently, enabling faster synchronization speeds while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent introduces a synchronization server as an intermediary component that mediates between timing sources and client devices. This intermediary centralizes synchronization logic, coordinates timing data distribution across the network, and manages the complexity of synchronizing multiple devices, thereby improving overall synchronization speed without proportionally increasing system complexity.
2Measurement precision
If dynamic resource allocation is implemented to improve synchronization efficiency, then data synchronization accuracy improves, but computing resource management complexity increases
Solution Approach 1:
The patent implements dynamic resource allocation where the synchronization server adaptively adjusts computing resources based on real-time network conditions and device requirements. The system dynamically prioritizes timing-critical operations, allocates processing power to high-precision synchronization tasks, and adjusts resource distribution according to network load, thereby improving timing data accuracy while managing complexity through adaptive rather than static resource management.
Solution Approach 2:
The patent incorporates feedback mechanisms where client devices report their synchronization status and timing deviations back to the synchronization server. The server uses this feedback to adjust resource allocation, refine timing calculations, and optimize synchronization precision. This closed-loop feedback system improves timing accuracy while keeping resource management complexity manageable through data-driven decision making.
Data Source
AI summary
This disclosure is directed to intelligent synchronization of computing users, and associated timing data, based on parameters or data received from computing systems connected via wireless, satellite, wire-based, optical-fiber based, etc., computing networks.