Network Back Pressure Remediation and Bottleneck Resolution
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Solution Overview
Problem
Current network management techniques are inadequate for handling increasing complexity and performance demands in communications networks, particularly in identifying and addressing bottlenecks, which leads to inefficient switch-level problem management and manual guesswork in attaching new nodes to the network.
Innovation Solution
The technology maps back pressure within the network to distinguish primary bottlenecks from dependent bottlenecks, performs network healing operations, and suggests optimal switch ports for new node attachment by analyzing traffic load and back pressure, using a network-level problem management scheme that includes online and offline analysis across various protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual switch-level problem management is used, then device complexity is reduced, but productivity decreases due to slow response and inability to distinguish primary bottlenecks
Solution Approach 1:
A network-level management intermediary is introduced that sits between the user and the complex network infrastructure. This intermediary automatically analyzes back pressure patterns, identifies primary bottlenecks, and performs healing operations, thereby speeding up problem management without requiring the user to directly handle network complexity.
Solution Approach 2:
The network management system performs self-service by automatically detecting bottlenecks, analyzing back pressure mapping, and executing healing operations without manual intervention. The system monitors itself and resolves issues autonomously, improving productivity while keeping the interface simple for users.
2Measurement precision
If manual port selection for node attachment is used, then device complexity is minimized, but measurement precision decreases due to inability to assess back pressure and traffic load factors
Solution Approach 1:
The network management system acts as an intermediary that gathers and analyzes complex network state information (back pressure, traffic load, bottleneck status) and presents simplified port recommendations to users. This enables precise port selection without requiring users to directly handle the complexity of network analysis.
Solution Approach 2:
The system performs preliminary analysis of network conditions (back pressure mapping, bottleneck identification, traffic load assessment) before node attachment decisions are made. By pre-evaluating all relevant factors and presenting ready-made recommendations, the system achieves high measurement precision without burdening users with complex analysis tasks.
3Productivity
If network-level problem management is implemented, then productivity increases through automated bottleneck identification, but device complexity increases due to additional management layers
Solution Approach 1:
The network management system performs self-service by automatically executing healing operations once bottlenecks are identified. The system monitors its own state, applies remediation actions, and verifies results without requiring additional manual intervention or complex user coordination, thereby improving productivity while maintaining manageable complexity.
Solution Approach 2:
The management system is segmented into distinct functional modules: back pressure mapping, bottleneck identification, healing operation execution, and port recommendation generation. This modular segmentation allows each component to specialize in specific tasks, improving overall productivity while keeping individual components simple and manageable.
Data Source
AI summary
Back pressure is mapped within a network, and primary bottlenecks are distinguished from dependent bottlenecks. Further, the presently disclosed technology is capable of performing network healing operations designed to reduce the data load on primary bottlenecks while ignoring dependent bottlenecks. Still further, the presently disclosed technology teaches identifying and/or suggesting a switch port for adding a node to the network. More specifically, various implementations analyze traffic load and back pressure in a network, identify primary and dependent bottlenecks, resolve the primary bottlenecks, collect new node parameters, and/or select a switch port for the new node. Further, a command can be sent to a selected switch to activate an indicator on the selected port. New node parameters may include new node type, maximum load, minimum load, time of maximum load, time of minimum load and type of data associated with the new node.