Dynamic Data Mapping for Resource-Limited Client Devices
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Solution Overview
Problem
Decision-makers are often overwhelmed by excessive information, leading to ineffective evaluation of issues due to the inability to manage and organize data effectively, which hinders good decision-making.
Innovation Solution
A system for dynamically modifying data sets on both client and server sides, allowing data processing to be allocated between them, enhancing the operation of both sides and enabling robust data mapping on devices with limited processing capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data processing is performed on client-side devices with limited processing capability, then the system can operate on devices with limited resources, but the processing capability and performance are constrained
Solution Approach 1:
The patent segments data processing tasks between client-side devices and server. The server handles computationally expensive operations (data compilation, mapping generation) while client devices perform simpler operations (data reception, local filtering, display). This segmentation allows client devices with limited processing capability to function effectively without requiring high-powered hardware.
Solution Approach 2:
The server acts as an intermediary that receives data from various sources, performs complex processing and mapping operations, then delivers processed information back to client devices. This intermediary approach enables client devices to access sophisticated data processing capabilities without having the processing power themselves.
2Power
If the server handles all data processing tasks, then processing capability is sufficient, but server traffic capacity is exceeded and system response time increases
Solution Approach 1:
The patent extracts data processing tasks from the server and distributes them to client devices. Client devices perform local data filtering, selection, and preliminary processing before receiving data from the server. This extraction reduces the processing burden on the server, allowing it to handle more traffic and complex mapping operations without exceeding capacity.
Solution Approach 2:
Client devices perform preliminary data processing actions locally before interacting with the server. Users can filter, select, and prepare data on their devices beforehand, then send only the necessary processed data to the server for final mapping and visualization. This preliminary action reduces the volume of data the server must process.
3Loss of information
If all data is processed and displayed on the client device, then complete information is available, but the amount of data overwhelms the client device's processing capability
Solution Approach 1:
The patent applies partial action by having client devices process and display only the subset of data relevant to the current view or query, rather than processing all available data. The server provides complete data sets, but client devices selectively process and display only necessary portions, balancing information completeness with processing capability.
Solution Approach 2:
The patent segments data into hierarchical levels and categories. Client devices receive complete data sets from the server but organize and display them in segmented views (e.g., by category, priority, or time period). This segmentation allows clients to manage large data volumes systematically without overwhelming processing resources.
Data Source
AI summary
Systems and methods for generating a data map based on a dynamically updated data set. The system includes a client-side device. The client-side device includes a controller and is operably connected to a communication network. The controller includes a processor and a non-transitory computer readable data storage medium, the processor is configured to retrieve from the medium and execute computer readable instructions to receive a data set including one or more data assets and generate the data map based on the received data set. Each data asset includes four or more attributes. The data map includes one or more segments, and the one or more segments illustrate each of the four or more attributes of the one or more data assets.