Adaptive Network Traffic Monitoring for Granular Performance Steering
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Solution Overview
Problem
Existing network performance measurement methods either require costly equipment installation or provide non-granular results, limiting effective prioritization and steering in enterprise networks.
Innovation Solution
An adaptive approach that adjusts monitoring granularity in response to detected performance degradation events, allowing for more efficient resource use by increasing granularity only when needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network traffic is monitored at high granularity continuously, then measurement precision is improved, but resource consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of monitoring granularity based on real-time network conditions. The system transitions from static continuous high-granularity monitoring to adaptive variable-granularity monitoring, adjusting the level of detail according to detected performance degradation events. This resolves the contradiction by making granularity dynamic rather than continuously fixed at maximum level.
Solution Approach 2:
The system changes the monitoring parameter (granularity level) based on network performance conditions. When performance degradation is detected, the system increases monitoring granularity to capture detailed traffic patterns; when performance is normal, it reduces granularity to conserve resources. This parameter adaptation resolves the contradiction between measurement precision and resource consumption.
2Measurement precision
If costly equipment is installed to enable detailed network traffic measurement, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent enables resource-constrained devices to perform advanced network performance analysis themselves without requiring external costly equipment. The system uses intelligent algorithms to adaptively monitor and analyze network traffic based on available resources, allowing the device to serve its own monitoring needs. This eliminates the contradiction by making detailed measurement capability inherent to the device rather than requiring additional complex equipment.
Solution Approach 2:
The system replaces expensive permanent monitoring equipment with software-based adaptive monitoring that uses minimal computational resources. Instead of installing costly hardware, the patent implements lightweight monitoring agents that can be deployed on existing devices, providing detailed measurement capability without increasing device complexity or requiring specialized equipment.
3Use of energy by moving object
If non-granular monitoring is used to conserve resources, then resource consumption is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent implements periodic adjustment of monitoring granularity based on detected performance events. Instead of continuous high-granularity monitoring, the system uses periodic assessment of network conditions and adjusts granularity accordingly. Monitoring intensity is increased periodically when degradation events are detected and reduced during normal operation, resolving the contradiction between resource consumption and measurement precision through time-based modulation.
Data Source
AI summary
A method performed by a processing system including at least one processor includes monitoring network traffic at a location in a communications network according to a first granularity, determining that a condition has been detected that indicates a likelihood of degradation of network performance at the location being monitored, beginning to monitor the network traffic at the location according to a second granularity that is more granular than the first granularity, determining, based on the monitoring according to the second granularity, a determined network performance, and adjusting, in response to the determined network performance, a manner in which the network traffic at the location is steered through the communications network.