Adaptive Multi-Link Control for Network Throughput Optimization
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Solution Overview
Problem
Conventional link aggregation techniques lack the ability to adaptively determine when to use single or multiple communication links, leading to inefficient network bandwidth utilization and throughput in Information Handling Systems (IHSs).
Innovation Solution
An adaptive multi-link control system that determines when a communication link is under contention by comparing Quality-of-Service (QoS) indicators across different links, such as latency and packet loss, and aggregates links based on these conditions to optimize network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional link aggregation techniques are used to provide multiple network interfaces, then network bandwidth is increased, but the system lacks adaptive ability to determine when to use single or multiple links
Solution Approach 1:
The system dynamically adjusts link aggregation configuration based on real-time QoS conditions. The adaptive multi-link control changes the operational state between single-link and multi-link modes according to measured latency and contention levels, making the system flexible rather than static.
Solution Approach 2:
The system continuously monitors QoS indicators (latency, packet loss, contention) and uses this feedback to adjust link aggregation settings. The control mechanism receives performance feedback and automatically modifies the network configuration to optimize throughput and response time.
2Productivity
If multiple communication links are aggregated to increase bandwidth, then network throughput is improved, but QoS degradation may occur when links are under contention
Solution Approach 1:
The system dynamically switches between single-link and multi-link modes based on real-time QoS conditions. When contention is detected on one link, the system adapts by using alternative links or adjusting the aggregation configuration to maintain consistent QoS while preserving throughput.
Solution Approach 2:
The system changes operational parameters (link selection, aggregation mode) based on measured QoS conditions. By monitoring latency, packet loss, and contention levels, the system adjusts which links are active and how they are aggregated to maintain both throughput and QoS consistency.
3Device complexity
If single network interface is used to simplify communication, then device complexity is reduced, but network bandwidth utilization is limited
Solution Approach 1:
The adaptive multi-link control system enables a single control mechanism to manage multiple network interfaces universally. Rather than requiring separate control logic for each interface configuration, one adaptive controller handles both single-link and multi-link operations, reducing overall complexity while enabling bandwidth aggregation when needed.
4Productivity
If adaptive multi-link control is implemented to optimize throughput, then network performance is improved, but control complexity increases
Solution Approach 1:
The adaptive control mechanism uses QoS feedback (latency, contention, packet loss) to automatically adjust link aggregation settings. This feedback-driven approach eliminates the need for complex manual configuration or prediction algorithms, as the system self-optimizes based on real-time performance data.
Solution Approach 2:
The system performs self-configuration and self-optimization of link aggregation based on measured QoS conditions. Rather than requiring external control or complex decision-making logic, the adaptive mechanism autonomously adjusts the network configuration to maximize throughput while maintaining QoS.
Data Source
AI summary
Systems and methods for adaptive multi-link control are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: determine that a first communication link is under contention; compare a first quality-of-service (QoS) indicator of the first communication link with a second QoS indicator of the second communication link, at least in part, in response to the determination; and aggregate the first and second communication links, at least in part, in response to the second QoS indicator being equal or superior to the first QoS indicator.