Policy Determination Apparatus for Dynamic Network Routing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing load distribution schemes in network systems face inefficiencies, particularly with static distribution methods that become less efficient when server states change, and dynamic schemes require real-time monitoring and load balancer usage.
Innovation Solution
A policy determination apparatus that acquires monitoring data, generates time-series metrics, evaluates routing destinations based on these metrics, and dynamically determines routing policies to optimize request routing, considering priorities and update conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a static distribution scheme is used, then the policy is simple to implement, but the efficiency is lowered when server states change
Solution Approach 1:
The patent implements dynamic policy determination by continuously acquiring monitoring data from servers and automatically adjusting routing policies based on current server states. The system transitions from static predetermined policies to dynamic policies that adapt in real-time to changing server conditions, resolving the contradiction between simplicity and efficiency.
Solution Approach 2:
The system establishes a feedback loop where monitoring data is continuously collected from servers, evaluated against current conditions, and used to adjust routing policies. This closed-loop control enables the system to respond to server state changes automatically, maintaining high efficiency without requiring complex manual intervention.
2Productivity
If a dynamic distribution scheme is used, then the load distribution efficiency is maintained, but a load balancer is required to monitor server states in real time
Solution Approach 1:
The patent enables ordinary servers to perform multiple functions: they both handle client requests and provide monitoring data for policy determination. By making servers multi-functional, the system eliminates the need for dedicated load balancers, reducing infrastructure complexity while maintaining dynamic load distribution efficiency.
Solution Approach 2:
The system implements self-service mechanisms where servers automatically provide their own monitoring data and the policy determination apparatus automatically adjusts routing based on this data. This automation eliminates the need for specialized load balancing hardware, as the system serves itself through integrated monitoring and adaptive routing.
3Adaptability or versatility
If monitoring data is continuously acquired and policies are dynamically determined, then the adaptability to network conditions is enhanced, but the system complexity increases
Solution Approach 1:
The patent introduces a policy determination apparatus as an intermediary between monitoring data collection and routing decision-making. This intermediary component simplifies the overall system architecture by centralizing the policy determination logic, making the system more manageable while maintaining high adaptability to changing network conditions.
Data Source
AI summary
A policy determination apparatus includes an acquisition unit, a metrics generation unit, an evaluation unit, and a policy determination unit. The acquisition unit acquires monitoring data relating to states of facilities on a network. The metrics generation unit generates, based on the monitoring data, time-series data of types of metrics associated with candidates of routing destinations to which a routing control apparatus routes requests. The evaluation unit evaluates the candidates based on the time-series data to generate routing destination evaluation data. The policy determination unit determines, based on the routing destination evaluation data, a policy that the routing control apparatus uses for control of the routing destinations.