Network Parameter Tracking Method for IP Traffic Optimization
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Solution Overview
Problem
Existing methods for updating network parameters in communication networks require significant computing time to adjust access control limits, leading to delays in data transmission when traffic matrices or network topologies change, especially when optimizing link weights for error cases.
Innovation Solution
A method that optimizes link cost metrics in two stages: first, without considering error cases to quickly determine new limits, and second, taking error cases into account if the initial optimization is unsuccessful, allowing for faster adaptation of access control limits to current traffic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If link cost metric optimization takes error cases into account, then network reliability is improved, but computing time increases significantly
Solution Approach 1:
The optimization process is divided into two distinct phases: a fast phase that computes link cost metrics without considering error cases, and a slower phase that optimizes for error cases only when necessary. This segmentation allows the system to achieve most of the optimization benefit quickly, while reserving the computationally intensive error-case optimization for situations where it is truly needed.
Solution Approach 2:
The method performs a preliminary optimization without error cases to establish initial link cost metrics quickly. This preliminary action provides a good starting point that satisfies most normal operating conditions, allowing the system to avoid the time-consuming error-case optimization in the majority of scenarios.
2Productivity
If access control limits are manually adjusted to changing traffic situations, then blocking probability is optimized, but operational complexity increases
Solution Approach 1:
The system implements automated feedback mechanisms that continuously monitor traffic matrices and blocking probabilities, then automatically adjust access control limits and link cost metrics accordingly. This eliminates the need for manual operator intervention while maintaining optimized network performance.
Solution Approach 2:
The network optimization system performs self-adjustment by automatically detecting changes in traffic conditions and recalculating optimal link cost metrics and access control limits without human intervention. The system serves itself by monitoring its own performance and making necessary adjustments.
3Productivity
If comprehensive link weight optimization is performed, then network traffic distribution is optimized, but data transmission delay increases
Solution Approach 1:
The link cost metrics are made dynamic rather than static, allowing the system to quickly adapt to changing traffic conditions. The optimization level is adjusted dynamically based on current network state, using simplified metrics for normal operations and more comprehensive optimization only when performance degradation is detected.
Data Source
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AI summary
The invention relates to a method for tracking network parameters in a communication network formed by nodes and links between them, particularly in a packet-based IP network, with access controls for the purpose of limiting the traffic load, where the network parameters comprise a link/cost metric with link weights for the links, in which: a) a traffic matrix for the network is regularly ascertained, b) a blocking probability for traffic which is subject to an access control is determined from a current traffic matrix, c) a check is performed to determine whether the ascertained blocking probability satisfies a criterion for scheduled network operation, d) if the blocking probability does not satisfy the criterion and/or redetermination for limits used as part of the access controls using the current traffic matrix does not result in a blocking probability which satisfies the criterion then the current traffic matrix is used to determine a new link/cost metric for optimizing the transport of traffic through the network, e) new values for limits used as part of the access controls are determined on the basis of the new link/cost metric and, following determination of the new values for the limits, a check is performed to determine whether the criterion is satisfied when the limits are fixed at these values again, f) if the criterion is satisfied then the link weights are configured with the new link/cost metric in the network and the limits are stipulated at the new values, characterized in that in step d) the link/cost metric is first of all optimized for the transport of traffic through the network without taking account of error situations, and if it is established in the subsequent step e) that the criterion is not satisfied when the limits are fixed again on the basis of the new link/cost metric, optimized without taking account of error situations, then the process returns to step d) and the link/cost metric for transporting traffic through the network is optimized taking account of error situations.