Network Stack Tuning via Application Information
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Solution Overview
Problem
In the context of heterogeneous and complex networks with varying traffic patterns and media types, existing technologies face challenges in customizing network connections to meet bandwidth and latency requirements efficiently and reliably.
Innovation Solution
A method and system for tuning a network stack by using application information and operational information associated with network interface controllers and networks to optimize the communication of packets, involving adjustments to the physical, network, and transport layers to enhance efficiency and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network stack is customized for different applications and network conditions, then bandwidth utilization and reliability are improved, but system complexity increases
Solution Approach 1:
The network stack is made dynamically adjustable through runtime tuning of parameters at multiple layers (physical, network, transport) based on application requirements and network conditions. The system can adaptively change buffer sizes, timeout values, congestion control parameters, and protocol settings without requiring system reconfiguration or recompilation, allowing the stack to optimize performance for different workloads while maintaining a single unified implementation.
Solution Approach 2:
The invention applies parameter changes by systematically adjusting numerous network stack parameters across different layers including buffer sizes, timeout values, congestion control thresholds, retransmission settings, and protocol options. These parameter adjustments are made based on application-specific requirements (e.g., real-time vs. bulk transfer) and network conditions (e.g., bandwidth, latency, loss rate), enabling the same network stack to reliably serve diverse applications without increasing structural complexity.
2Productivity
If network stack parameters are tuned based on application information, then packet communication efficiency is improved, but tuning process complexity increases
Solution Approach 1:
The system performs preliminary action by pre-defining parameter tuning strategies and profiles for different application types and network conditions. Application information is collected and analyzed in advance to determine appropriate parameter settings before actual packet transmission begins. This allows the network stack to be pre-configured with optimal parameters based on application requirements (e.g., VoIP, video streaming, file transfer) and expected network characteristics, eliminating the need for complex real-time adjustments during operation.
Solution Approach 2:
The invention implements feedback mechanisms that monitor network performance metrics (bandwidth utilization, latency, packet loss, retransmission rates) and use this information to dynamically adjust network stack parameters. The system continuously evaluates the effectiveness of current parameter settings and automatically tunes them based on observed performance, creating a closed-loop control system that improves communication efficiency without requiring manual intervention or complex external tuning processes.
Data Source
AI summary
In general, the invention relates to a method for sending a packet from an application to a destination. The method includes opening a network connection between the application and the destination, tuning at least one layer in a network stack, based on application information associated with the application, to obtain a tuned network stack, wherein the network stack is associated with the network connection, receiving the packet from the application, processing the packet using the tuned network stack to obtain a processed packet, and sending the processed packet to the destination, wherein the processed packet is received by the destination.