Hierarchical System Resource Optimization via Segmentation
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Solution Overview
Problem
Conventional hierarchical systems face limitations in scalability, management independency, and efficient resource allocation due to exponential cost increases in resource allocation optimization, difficulty in achieving optimal resource management balance, and recalculation inefficiencies across varying resource demands.
Innovation Solution
A hierarchical system with a tree structure where lower system structures report performance information to upper structures, enabling resource optimization processing based on performance and management information, and allowing independent optimization and resource allocation management while hiding detailed management information from outside systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resource allocation optimization is performed in conventional hierarchical systems, then resource utilization efficiency is improved, but system complexity and computational cost increase exponentially
Solution Approach 1:
The patent segments the hierarchical system into multiple levels (upper system structure and lower system structures) with distinct responsibilities. Each level performs resource allocation optimization independently within its scope, breaking down the exponential complexity problem into manageable polynomial sub-problems. The upper structure manages high-level resource distribution while lower structures handle detailed local allocation, preventing any single component from bearing the full computational burden.
Solution Approach 2:
The patent introduces a hierarchical dimension to resource management, organizing systems into multiple levels rather than a flat structure. This dimensional transformation allows resource allocation to be approached from different levels of abstraction, where each level solves a simplified version of the optimization problem. The tree structure creates a multi-dimensional management framework that reduces overall system complexity while maintaining comprehensive resource control.
2Measurement precision
If detailed management information is shared across hierarchical levels, then resource optimization accuracy is improved, but information security and management independency deteriorate
Solution Approach 1:
The patent implements local quality by allowing each hierarchical level to access and process only the management information necessary for its specific optimization tasks. The upper system structure receives aggregated performance information from lower structures without accessing detailed operational data, while lower structures maintain full visibility of their local resources. This differentiated information access pattern ensures both optimization accuracy at each level and security of sensitive detailed information.
Solution Approach 2:
The patent introduces performance information as an intermediary between upper and lower system structures. Instead of direct access to detailed management information, the upper structure receives processed performance metrics that capture essential system state without revealing sensitive operational details. This intermediary layer enables effective resource optimization at the upper level while protecting the confidentiality and security of detailed management information at lower levels.
3Adaptability or versatility
If resource reallocation is performed frequently to meet varying demands, then system adaptability is improved, but computational overhead and processing time increase
Solution Approach 1:
The patent implements periodic action by establishing scheduled resource allocation optimization cycles at each hierarchical level. Instead of continuous reallocation in response to every demand change, the system performs optimization at predetermined intervals, allowing demands to be aggregated and processed in batches. This periodic approach maintains system adaptability by regularly adjusting resource allocation while significantly reducing computational overhead compared to continuous reallocation.
Solution Approach 2:
The patent applies preliminary action by having lower system structures report performance information to upper structures in advance of actual resource allocation decisions. This advance reporting allows the upper structure to pre-process and prepare optimization strategies before final allocation decisions are made. By performing preliminary analysis and preparation, the system reduces the time required for actual resource reallocation while maintaining high adaptability to changing demands.
Data Source
AI summary
A lower system structure reports performance information to an upper system structure. When detecting performance deterioration of the system structure on the basis of the reported performance information, the upper system structure optimizes resource redistribution of the system structure that the upper system structure manages. If the performance is improved by the optimization in the managed system structure, the optimization results is applied to the resource control of the lower system structure, and the lower system structure redistributes the resources according to the resource control. If the performance is not improved by the optimization, the lower system structure reports the performance information to the upper system structure, which optimizes the resource redistribution.