Dynamic QoS Parameter Adjustment for Network Switch Traffic Management
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Solution Overview
Problem
Existing Quality of Service (QoS) configurations in network switches are often applied statically, lacking feedback mechanisms to adjust to changes in network environments, leading to inefficiencies and potential congestion issues due to varying traffic loads, types, and hardware capabilities, which can result in suboptimal business outcomes in datacenters.
Innovation Solution
A dynamic mechanism for analyzing QoS parameter values, traffic conditions, and network switch hardware capabilities to recommend updated configurations, including the ability to dynamically provision additional queues, adjust bandwidth, and reclassify traffic to optimize queue utilization and bandwidth allocation, using network processors and monitoring agents to maintain optimized business outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If QoS configurations are applied statically to network switches, then configuration simplicity is maintained, but network performance deteriorates under varying traffic loads and congestion conditions
Solution Approach 1:
The patent implements dynamic QoS parameter adjustment by monitoring actual traffic conditions and automatically modifying queue bandwidth allocations, queue splits, and traffic classifications in real-time based on observed network behavior, transforming static configurations into adaptive ones that respond to changing traffic patterns
Solution Approach 2:
The system establishes a feedback loop where network traffic is continuously monitored, QoS parameter effectiveness is evaluated, and adjustments are made based on performance outcomes. This closed-loop approach allows the system to learn from actual network behavior and optimize QoS configurations iteratively
2Productivity
If QoS parameters are adjusted dynamically to optimize network performance, then network performance improves, but system complexity increases
Solution Approach 1:
The patent enables the network switch to self-adjust QoS parameters by automatically monitoring its own traffic patterns, evaluating QoS effectiveness, and modifying configurations without external intervention. This self-service capability reduces the need for complex external management systems while maintaining optimal performance
Solution Approach 2:
The system optimizes network performance by dynamically changing QoS parameters such as queue bandwidth allocations, queue splits, and traffic classifications based on observed traffic conditions, allowing flexible adaptation without requiring complete system redesign
3Reliability
If manual QoS configuration is used, then configuration control is maintained, but time consumption increases due to lack of automated adaptation
Solution Approach 1:
The system implements automated feedback mechanisms that continuously monitor network traffic and QoS performance, enabling automatic configuration adjustments without manual intervention while maintaining configuration integrity and control through structured decision-making processes
4Measurement precision
If QoS configurations are optimized for specific traffic types, then traffic management precision improves, but adaptability to changing network conditions deteriorates
Solution Approach 1:
The patent makes traffic classification dynamic by continuously monitoring traffic patterns and automatically adjusting classification rules and queue assignments based on observed behavior, allowing the system to maintain precise traffic management while adapting to changing network conditions and emerging traffic types
Data Source
AI summary
Some examples disclosed herein relate to traffic management via network switch QoS parameters analysis. In one example, a set of actual QoS parameters maybe analyzed using a set of configured QoS parameters of each network switch. A set of modified QoS parameters for each network switch maybe determined based on the analysis of the set of actual QoS parameters. The set of modified QoS parameters maybe recommended to configure each network switch for improved traffic management.