Environment Information Server for Network Load Balancing
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Solution Overview
Problem
In information services with multiple servers across different physical locations, clients face varying network conditions, making it difficult to select the most favorable server for optimal performance, as latency and user load can significantly impact service quality.
Innovation Solution
An environment information server is implemented to store and provide data on multiple network environments, allowing clients to retrieve environment reports that include network information, status, user count, and performance metrics, enabling informed selection of the best environment for connection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If clients connect to servers physically closer to them, then latency is reduced, but server load may increase
Solution Approach 1:
The system performs preliminary actions by proactively collecting and storing environment information (latency, user count, status) for multiple servers before clients need to connect. This advance preparation enables clients to make informed selection decisions without real-time probing, resolving the contradiction by providing predictive data that helps clients choose optimal servers while avoiding sudden load spikes on physically close servers.
Solution Approach 2:
The system implements feedback mechanisms where environment information is continuously collected from multiple servers and made available to clients. This feedback loop allows clients to see real-time or near-real-time data about server conditions (user count, latency, status) and adjust their connection choices accordingly, balancing latency requirements with load distribution considerations.
2Productivity
If clients connect to servers with fewer users, then performance is improved, but selection difficulty increases
Solution Approach 1:
The environment information server acts as an intermediary between clients and multiple servers. It collects, processes, and presents environment information in a standardized format, making the selection process easier. The intermediary aggregates complex server metrics into actionable reports, reducing the cognitive load on clients while enabling them to make performance-optimized selections.
Solution Approach 2:
The system replaces manual server selection mechanisms with automated environment information collection and presentation. Instead of clients needing to manually probe multiple servers or rely on guesswork, the system substitutes this with automated data gathering and structured information delivery, significantly reducing selection difficulty while maintaining performance optimization.
3Reliability
If multiple servers are deployed across different locations, then service availability is improved, but network condition variability increases
Solution Approach 1:
The system changes parameters by collecting and normalizing multiple environment metrics (latency, user count, status) for different servers and presenting them as standardized comparison data. This parameter transformation allows clients to adapt to network condition variability by seeing quantifiable differences between servers and making informed choices, thereby maintaining high availability while managing the complexity of multi-location deployment.
Data Source
AI summary
Methods and apparatus implementing techniques for providing network environment information. In one implementation, a environment information server includes: a server controller; a network connection connected to said server controller; an environment information database connected to said server controller for storing data for one or more network environments; and a request handler connected to said server controller for processing requests received through said network connection; wherein said request handler exchanges data with said environment information database in the course of processing a received request.