Content Distribution Server Selection via Performance Metrics
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Solution Overview
Problem
Current content delivery networks (CDNs) rely on assumptions about user location based on recursive DNS servers, leading to suboptimal content distribution as they do not accurately account for end user locations, and solely rely on geographic proximity, which may not always result in the most efficient delivery.
Innovation Solution
A system that determines the optimal content servers by using identification parameters like IP addresses and deriving performance metrics such as proximity, latency, cost, and traffic patterns to route content directly to end users, integrating with existing DNS hierarchies and using monitoring servers to actively or passively collect these metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If CDNs rely on assumptions about user location based on recursive DNS servers, then content distribution can be simplified, but accuracy of user location determination deteriorates
Solution Approach 1:
The patent introduces an intermediary system between the recursive DNS server and the end user that actively determines user location. Instead of relying on assumptions from the recursive DNS server, the system uses multiple data sources including geographic IP databases, network path analysis, and real-time performance metrics to accurately determine user location while maintaining operational simplicity.
Solution Approach 2:
The patent moves from a single-dimension approach (assuming user location based on recursive DNS server location) to a multi-dimensional approach by considering multiple factors: geographic IP database information, network path characteristics, real-time performance metrics, and user profile data. This dimensional expansion resolves the contradiction by providing accurate location determination without complicating the content distribution process.
2Device complexity
If CDNs solely rely on geographic proximity to determine content server selection, then routing decisions are simplified, but delivery efficiency deteriorates
Solution Approach 1:
The patent transforms the static content server selection process into a dynamic one. Instead of solely relying on fixed geographic proximity, the system continuously monitors real-time performance metrics including latency, bandwidth availability, and server load. This dynamic approach allows the system to adapt routing decisions based on current network conditions, thereby improving delivery efficiency while maintaining reasonable complexity through automated real-time adjustments.
Solution Approach 2:
The patent implements a feedback mechanism where real-time performance metrics are continuously collected from content deliveries and used to adjust routing decisions. The system monitors latency, success rates, and bandwidth utilization, then feeds this information back into the content server selection process. This closed-loop feedback system improves delivery efficiency by adapting to changing network conditions without requiring complex manual intervention.
3Measurement precision
If multiple performance metrics are used to determine optimal content servers, then content distribution accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex task of optimal content server selection into distinct functional modules: geographic location determination, network path analysis, performance metric collection, user profile matching, and final server selection. Each module handles a specific aspect of the decision-making process, which reduces overall system complexity by breaking down the monolithic problem into manageable, independent components that can be developed and maintained separately.
Solution Approach 2:
The patent creates a universal content server selection system that handles multiple types of performance metrics and selection criteria through a single integrated framework. The system can accommodate geographic proximity, network latency, bandwidth availability, server load, and user-specific preferences all through one multi-functional architecture. This universal approach improves accuracy by considering multiple factors while avoiding the complexity of maintaining separate systems for each metric.
Data Source
AI summary
Some embodiments provide systems and methods for determining a server of a distributed hosting system to optimally distribute content to an end user. The method includes identifying an IP address of the end user. Based on the IP address, a set of servers send packets to the end user to derive performance metrics. The performance metrics are used to determine a server from the set of servers that optimally distributes content to the end user. The method modifies a configuration for resolving end user requests such that the optimal server is identified to the end user when the end user requests content from the hosting system. Some embodiments determine the optimal server by providing downloadable content that is embedded with a monitoring tool. The monitoring tool causes the end user to derive performance metrics for the hosting system when downloading a particular object from a set of servers.