Network Routing Engine Prioritizing IP Addresses via Statistics
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Solution Overview
Problem
Current systems lack a mechanism to choose the best route to a host based on networking performance when multiple routes are available, typically connecting to the first IP address listed by a DNS query without evaluating the performance of other options.
Innovation Solution
A method that involves collecting and evaluating statistics for different network addresses and subnets to prioritize connections, using metrics like round trip time, connection attempts, and successful connections to determine the highest priority route for establishing network connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system connects to the first IP address listed by DNS query, then the connection process is simple and fast, but the network performance and reliability cannot be optimized
Solution Approach 1:
The system performs preliminary actions by collecting and evaluating routing statistics for multiple IP addresses before establishing a connection. The networking engine monitors round trip times, connection attempts, and successful connections for each potential route in advance, then uses this pre-collected data to prioritize IP addresses. This allows the system to select the most reliable route without adding complexity to the actual connection process.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring network performance metrics (round trip time, connection success rate) for each IP address and using this feedback to dynamically prioritize routing options. The routing statistics are updated based on actual connection outcomes, allowing the system to learn from past performance and improve future routing decisions.
2Reliability
If the system evaluates multiple IP addresses and prioritizes them based on statistics, then the network connection quality is improved, but the time and computational resources required increase
Solution Approach 1:
The system applies partial action by not evaluating all possible IP addresses equally, but rather focusing statistical evaluation on a limited set of prioritized routes. The networking engine collects statistics for multiple IP addresses but only performs detailed evaluation and prioritization for the most promising options based on initial routing data, reducing the overall time and computational resources required while still improving connection quality.
3Adaptability or versatility
If the system monitors and collects routing statistics for multiple network addresses, then the ability to select the best route is enhanced, but the data collection and processing overhead increases
Solution Approach 1:
The system achieves universality by designing the routing statistics collection mechanism to serve multiple purposes simultaneously. The same statistical data collection infrastructure is used for both monitoring individual IP address performance and evaluating overall subnet quality. This multi-functional approach allows the system to enhance route selection capability without proportionally increasing complexity, as the same mechanisms serve multiple evaluation needs.
Data Source
AI summary
An apparatus and method are described for collecting and evaluating statistics for different network addresses and/or subnets when establishing network connections. For example, a method according to one embodiment comprises: receiving a set of potential network addresses for establishing a connection to a remote host; evaluating routing statistics associated with each of the potential network addresses; prioritizing the set of potential network addresses based on the evaluation; and initially attempting to connect to the remote host using the highest priority one or more network addresses.