Network Node Identification via Log and Flow Analysis
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Solution Overview
Problem
Managing complex logical multi-node applications in data centers is challenging due to configuration drift and the difficulty in accurately identifying which network nodes implement specific logical applications, making efficient monitoring and management operations difficult.
Innovation Solution
A computer-implemented method that analyzes log data and network flow data to identify roles and relationships between network nodes, allowing for the automatic identification and management of nodes implementing logical multi-node applications, without relying on static configuration information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static configuration information is used to identify network nodes implementing logical applications, then the identification process is simple, but it cannot handle dynamic configuration changes and leads to configuration drift
Solution Approach 1:
The system transitions from static configuration-based identification to dynamic behavior-based identification. By continuously monitoring log data and network flow data, the system adapts to configuration changes in real-time, identifying nodes implementing logical applications based on their actual runtime behavior rather than predetermined configuration information.
Solution Approach 2:
The system implements feedback mechanisms by continuously collecting and analyzing log data and network flow data from network nodes. This feedback loop enables the system to detect configuration drift and dynamically update its understanding of which nodes implement which logical applications, ensuring accurate identification despite environmental changes.
2Measurement precision
If comprehensive log data and network flow data are collected and analyzed to identify nodes implementing logical applications, then identification accuracy is improved, but data processing time and computational resources increase
Solution Approach 1:
The system extracts only the relevant features and patterns from the comprehensive log data and network flow data that are necessary for identifying nodes implementing logical applications. By focusing on key indicators such as application-specific log patterns and characteristic network flow behaviors, the system maintains high identification accuracy while reducing unnecessary data processing.
Solution Approach 2:
The system initially collects comprehensive data to ensure no identification opportunities are missed, then applies filtering and analysis to focus on the most discriminative features. This approach ensures high identification accuracy by examining sufficient data while optimizing processing efficiency through selective analysis of the most informative data elements.
3Productivity
If manual monitoring and management methods are used for network nodes, then system complexity is low, but management efficiency and ability to handle large-scale environments deteriorates
Solution Approach 1:
The system implements self-service capabilities by automatically collecting, analyzing, and interpreting log data and network flow data to identify and track nodes implementing logical applications. This automation eliminates the need for manual monitoring and configuration tracking, significantly improving management efficiency in large-scale data center environments where manual methods become impractical.
Data Source
AI summary
Some embodiments of the invention provide a novel method of managing network nodes that implement a logical multi-node application. The method can comprise obtaining log data describing events relating to a plurality of network nodes and obtaining network flow data describing flow of data between the plurality of network nodes. The method may identify roles performed by the network nodes. The method may detect relationships between the network nodes. The identified roles and the detected relationships are analyzed to identify which of the network nodes implement a logical multi-node application. Implementation data based on the identification of which of the network nodes implement the logical multi-node application can be processed to automatically control management of at least one of the network nodes.