Network Directionality Mapping System for Enterprise Data Transfer
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Solution Overview
Problem
Existing network monitoring methods lack standardized reporting techniques and graphical depiction capabilities for data transfer between computing devices in enterprise computing systems, leading to mischaracterization and complexity in tracking data transfer operations.
Innovation Solution
A network directionality mapping system that collects, standardizes, and analyzes packet header information to generate data transfer records and directional maps, enabling system administrators to track and visualize data movements between servers, correcting invalid records and distinguishing between unidirectional and bidirectional data transfers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing network monitoring methods are used, then network traffic data can be collected, but the data lacks standardized reporting techniques and accurate characterization
Solution Approach 1:
The patent segments the complex mapping process into distinct functional modules: a network sensing module for data collection, a data processing module for standardization and validation, and a mapping module for directional map generation. This segmentation reduces overall complexity by making each module's function specific and manageable while improving measurement precision through dedicated processing at each stage.
Solution Approach 2:
The patent introduces a data processing module as an intermediary between the network sensing module and the mapping module. This intermediary standardizes and validates network traffic data before it reaches the mapping function, ensuring accurate characterization without requiring the mapping module to handle raw, unstandardized data directly, thus reducing complexity while improving precision.
2Ease of manufacture
If network traffic data is collected in unformatted state, then data collection is simplified, but further analysis requires standardization that increases complexity
Solution Approach 1:
The patent divides the system into a network sensing module that handles simple data collection in unformatted state and a separate data processing module that performs standardization. This segmentation maintains ease of data collection while isolating the complexity of standardization to a dedicated module, preventing it from complicating the overall system.
Solution Approach 2:
The data processing module performs preliminary standardization and validation actions on network traffic data before it is used for mapping analysis. By preparing the data in advance through automated standardization protocols, the system maintains simple data collection processes while ensuring data is ready for analysis, reducing the complexity burden during the actual mapping operation.
3Ease of operation
If existing network monitoring methods are used, then basic network traffic monitoring is possible, but graphical depiction capabilities are lacking
Solution Approach 1:
The patent segments the system into distinct functional modules: network sensing for data collection, data processing for standardization, and mapping for graphical depiction. This segmentation enables each module to perform its specific function efficiently, making the overall system easier to operate for tracking data transfers while managing architecture complexity through clear separation of concerns.
Solution Approach 2:
The mapping module serves multiple functions: it generates directional maps, validates data, and provides graphical depiction capabilities. By making this module multi-functional, the system achieves comprehensive data transfer tracking capabilities without adding separate dedicated systems for each function, thus improving ease of operation while controlling overall system complexity.
4Productivity
If packet header information is not validated, then processing speed is faster, but invalid records may be generated
Solution Approach 1:
The data processing module performs preliminary validation of packet header information before records are finalized and stored. By validating data in advance through automated checks, the system ensures record accuracy while maintaining processing speed through efficient validation algorithms that prevent errors from propagating through the system.
Solution Approach 2:
The system implements feedback mechanisms where the data processing module validates packet header information and provides correction feedback to the mapping module. This feedback loop ensures that invalid records are identified and corrected, maintaining high data accuracy while the automated nature of the feedback process preserves processing speed by preventing manual intervention.
Data Source
AI summary
A computing system for monitoring, validating, and illustrating data transfer between computing devices in an enterprise computing system receives packet header information from network sensing modules. The computing system validates the records of the collected packet header information and discards erroneous records. The computing system corrects invalidly recorded information in the records. The computing system identifies records corresponding to unidirectional and bidirectional data transfer, generating a single data transfer record for a unidirectional data transfer and a pair of data transfer records for a bidirectional data transfer. The computing system stores the data transfer records in a standard data structure accessible at a user interface. The computing system generates a graphical directionality map for display at the user interface based on the input data transfer records to depict the data transfer relationships between computing devices.