Policy Determination Apparatus for Dynamic Network Routing
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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 balancers for optimal routing.
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, allowing for real-time adjustments and user-preferred weighting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
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 routing destinations 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 conditions, resolving the contradiction between simplicity and efficiency.
Solution Approach 2:
The system establishes a feedback loop where monitoring data is continuously collected from routing destinations, evaluated against current conditions, and used to adjust routing policies. This closed-loop control enables the system to respond to state changes automatically, maintaining high efficiency without requiring complex manual policy management.
2Productivity
If a dynamic distribution scheme is used, then the routing efficiency is maintained, but a load balancer is required to monitor states in real time
Solution Approach 1:
The patent integrates multiple functions into a unified policy determination apparatus that combines monitoring data acquisition, state evaluation, and routing policy determination. By consolidating these functions, the system eliminates the need for separate load balancer devices while maintaining dynamic routing efficiency, thus reducing device complexity.
Solution Approach 2:
The system merges the monitoring and policy determination functions into a single integrated apparatus. The policy determination unit directly accesses monitoring data and evaluates routing destinations without requiring an intermediate load balancer, combining multiple previously separate components into one unified system.
3Productivity
If real-time monitoring is implemented, then the routing efficiency is optimized, but the system complexity increases
Solution Approach 1:
The policy determination apparatus autonomously acquires monitoring data, evaluates routing destinations, and adjusts policies without requiring complex external monitoring infrastructure. The system performs self-service by integrating data collection and analysis functions within the policy determination unit, reducing overall system complexity while maintaining real-time optimization.
Data Source
AI summary
A policy determination apparatus according to a first aspect of the present invention includes an evaluation unit and a policy determination unit. The evaluation unit evaluates candidates of routing destinations to which a routing control apparatus routes requests, based on time-series data of types of metrics and priorities assigned to the types of metrics to generate routing destination evaluation data, where the types of metrics is generated based on monitoring data relating to the states of facilities on a network and are associated with the candidates. The policy determination unit determines a policy that the routing control apparatus uses for control of the routing destinations after the routing destination evaluation data is generated.