Endpoint Path Assurance via Logical Object Segmentation
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Solution Overview
Problem
In large and complex network environments, diagnosing problems from the perspective of an endpoint becomes increasingly difficult due to the vast amount of data generated and the growing number of endpoints, making it challenging for network administrators to identify and fix issues effectively.
Innovation Solution
The implementation of a system and method for network assurance that allows for endpoint-specific health analysis by identifying logical objects associated with an endpoint, determining their health based on network events, and presenting the network environment's health with respect to the endpoint, enabling quick diagnosis and resolution of issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If network monitoring data collection is expanded to cover all endpoints in large network environments, then the completeness of network status information is improved, but the difficulty of diagnosing problems from endpoint perspective increases
Solution Approach 1:
The patent segments the overwhelming network monitoring data by creating endpoint-specific views that filter and organize information relevant to each individual endpoint. This segmentation allows administrators to focus on data pertinent to specific endpoints rather than being overwhelmed by aggregate network data from all endpoints, thereby maintaining information completeness while reducing diagnostic difficulty.
Solution Approach 2:
The patent introduces an intermediary layer (the network monitoring system with endpoint-specific interfaces) that mediates between the raw network data and the administrator. This intermediary processes, filters, and presents data in an organized manner, transforming the raw comprehensive network status information into actionable endpoint-specific insights that reduce diagnostic complexity.
2Quantity of substance
If the number of monitored endpoints increases in growing network environments, then the coverage of network monitoring is improved, but the time required to diagnose and fix problems increases
Solution Approach 1:
The patent applies local quality by providing customized, endpoint-specific monitoring views tailored to the particular needs and characteristics of each endpoint. Rather than applying a uniform monitoring approach to all endpoints, the system adapts the monitoring perspective to each endpoint, allowing administrators to quickly identify and diagnose issues specific to individual endpoints without being distracted by unrelated network-wide data.
Solution Approach 2:
The patent segments the monitoring system into endpoint-specific modules that can independently track and analyze data for each endpoint. This segmentation enables parallel processing of multiple endpoint monitoring tasks and allows administrators to quickly isolate and diagnose issues at specific endpoints without having to analyze the entire network, thereby reducing diagnosis time as the number of endpoints grows.
3Measurement precision
If comprehensive network data collection is implemented across all network elements, then the accuracy of network analysis is improved, but the complexity of the monitoring system increases
Solution Approach 1:
The patent extracts and isolates only the specific data elements and metrics that are relevant to each endpoint's analysis. Rather than presenting all collected network data equally, the system extracts and highlights the precise information needed for accurate endpoint-specific analysis, maintaining measurement precision while reducing the apparent complexity by filtering out extraneous data.
Solution Approach 2:
The patent adds a new dimension of organization by structuring comprehensive network data along endpoint-specific dimensions. This dimensional reorganization transforms the complex multi-dimensional network data into structured, endpoint-centric views that maintain analytical accuracy while making the system more manageable and less complex from the user perspective.
Data Source
AI summary
Systems, methods, and computer-readable media for providing network assurance. In some embodiments, a method can include receiving input used to identify an endpoint. At least one logical object associated with the endpoint of logical objects in a network environment is identified based on the input. A health of the at least one logical object associated with the endpoint is determined. Additionally, a health of the network environment with respect to the endpoint operating to provide services through the network environment is determined based on the determined health of the at least one logical object associated with the endpoint.