Central Network System Node Sampling for Issue Resolution
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Solution Overview
Problem
Large and complex computer networks face inefficiencies in identifying and addressing system issues due to the high processing power and memory requirements for analyzing data from all machines, which can lead to further problems when responding to issues, such as data loss or failure of essential functions.
Innovation Solution
A central networking system employs diagnostic sampling methods and network monitoring rules that include sampling rules and safety instructions to select a subset of nodes for analysis, perform remedial actions, and ensure safe data collection without straining the network, using a subset of nodes to address issues and return the network to a stable state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data from all machines on the network is collected and analyzed, then comprehensive network issue identification is achieved, but processing power and memory requirements increase significantly
Solution Approach 1:
The patent segments the network monitoring task by dividing all nodes into multiple groups or subsets. Instead of analyzing all nodes simultaneously, the system selectively monitors specific groups of nodes based on predefined criteria, thereby reducing the overall processing load while maintaining comprehensive coverage through systematic segmentation of the network space.
Solution Approach 2:
The system performs partial action by collecting and analyzing data from only a subset of nodes rather than all nodes. This selective sampling approach provides sufficient information to identify network issues without the excessive processing power requirements of complete network-wide data collection, achieving an optimal balance between monitoring thoroughness and resource consumption.
2Measurement precision
If data from all machines on the network is collected and analyzed, then comprehensive network issue identification is achieved, but memory space requirements increase significantly
Solution Approach 1:
The patent extracts only the necessary data from a selective subset of nodes rather than collecting data from all machines. By taking out only the relevant information needed for issue identification and excluding redundant data from other nodes, the system significantly reduces memory space requirements while maintaining the ability to detect network problems effectively.
Solution Approach 2:
The system performs partial action by collecting and analyzing data from only a subset of nodes rather than all nodes. This selective sampling approach provides sufficient information to identify network issues without the excessive processing power requirements of complete network-wide data collection, achieving an optimal balance between monitoring thoroughness and resource consumption.
3Productivity
If remedial actions are executed immediately on suspect nodes, then network issues are addressed quickly, but the machine may lose log data or additional essential functions may fail
Solution Approach 1:
The patent applies preliminary action by executing remedial measures on alternative or backup nodes before the suspect node fails completely. By proactively addressing the issue on a different node while the original node is still operational, the system preserves log data and maintains essential functions, then applies fixes in a controlled manner that prevents further degradation.
Solution Approach 2:
The system uses an intermediary approach by introducing a buffer or intermediate state between detecting the issue and applying remedial actions. This intermediate step allows for verification and preparation, ensuring that remedial actions are applied safely without causing additional failures or data loss, thereby maintaining node reliability while still achieving timely resolution.
Data Source
AI summary
A central networking system supports efficient identification and analysis of problems that occur at associated nodes on the network. Using network monitoring rules, the central networking system samples data from a subset of nodes in response to an indication that an error or problem has occurred on the network. If the collected sample data is determined to satisfy certain network conditions, the central networking system proceeds to perform network operations on nodes of the entire network, as appropriate. Thus, the system does not need to collect data from every node in a large network to address potential network threats. The central networking system also defines rules for detecting when a node experiencing a problem violates safety conditions such that it is impossible or inadvisable to pull analytical data from the node. The system performs appropriate remedial actions to address the node problems prior to requesting data for analysis.