Dynamic Multi-Stream TCP Connection Optimizer
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Solution Overview
Problem
Conventional data transfer systems face challenges in optimizing dynamic multi-stream network connections due to variable available bandwidth, leading to suboptimal utilization and inefficiencies in data transmission.
Innovation Solution
A system and method that dynamically adjust operating parameters such as data buffer size and socket count based on real-time bandwidth changes, using equations to determine optimal values for maximizing bandwidth utilization across network connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple TCP connections are used for data transfer, then bandwidth utilization can be increased, but the available bandwidth varies over time causing suboptimal utilization
Solution Approach 1:
The system dynamically adjusts the number of parallel TCP connections and data buffer sizes based on real-time bandwidth conditions. Instead of using fixed parameters, the connection optimizer continuously monitors network performance and modifies connection parameters adaptively, transforming a static system into a dynamic one that responds to changing bandwidth availability.
Solution Approach 2:
The invention changes key operating parameters (number of TCP connections, data buffer sizes) based on measured network conditions. By adjusting these parameters in response to bandwidth variations, the system optimizes data transfer efficiency under different network conditions, resolving the contradiction between maintaining high utilization and adapting to variability.
2Productivity
If parameters are adjusted to optimize bandwidth utilization, then data transmission efficiency improves, but the adjustment must happen in insignificant time compared to bandwidth variation period
Solution Approach 1:
The system performs preliminary measurements of network bandwidth and latency at the start of data transfer, then pre-calculates optimal connection parameters before actual data transmission begins. This preliminary action allows the system to be prepared with optimized settings in advance, minimizing the time lost to parameter adjustments during the actual transfer.
Solution Approach 2:
The connection optimizer implements continuous feedback monitoring of network performance metrics during data transfer. By measuring actual bandwidth utilization and connection performance in real-time, the system can detect suboptimal conditions and trigger parameter adjustments only when necessary, reducing unnecessary adjustment overhead while maintaining efficiency.
3Productivity
If the number of TCP connections is increased to utilize available bandwidth, then throughput improves, but system complexity and resource consumption increase
Solution Approach 1:
The connection optimizer implements self-service mechanisms where the system automatically monitors its own performance, detects suboptimal conditions, and adjusts its parameters without external intervention. The built-in connection optimizer continuously manages the TCP connections, adjusting their number and configuration based on real-time feedback, thereby reducing the need for complex external management while maintaining high throughput.
Data Source
AI summary
A system for optimizing dynamic multi-stream network connections and methods for making and using the same. In various embodiments, the system advantageously can use a full bandwidth available between two network appliances connected by a Transmission Control Protocol (TCP) network connection with well-defined round-trip time (RTT) latency and changing bandwidth, among other things.