PMamut Framework Segmented Resource Management for Distributed Systems
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Solution Overview
Problem
Conventional resource management systems face challenges in efficiently managing resources due to the limitations of Reductionism and Organization Theory, leading to complexities in decision-making, execution, and adaptability, especially in dynamic and decentralized environments.
Innovation Solution
The PMamut framework introduces a cognitive pattern and task assignment based on extended System and Organization Theories, implementing a two-level resource management structure with a 'Supplied-state' concept and 'Deputy' mechanism, allowing for flexible management rules and decentralized decision-making without centralized control, using the DNA PMamut structure for request-oriented management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional resource management systems use centralized controlling machines (servers) to manage resources, then decision-making and resource allocation can be controlled, but the system complexity increases and autonomy of system elements is reduced
Solution Approach 1:
The patent segments resource management into two distinct levels: decision-making level (logical) and enforcement level (physical). This segmentation allows centralized control of resource allocation decisions while distributing enforcement across multiple nodes, thereby reducing system complexity and increasing element autonomy without sacrificing allocation control.
Solution Approach 2:
The patent introduces a 'resource management element' as an intermediary between the centralized decision-making system and the distributed enforcement nodes. This intermediary translates centralized decisions into local actions, enabling controlled resource allocation while maintaining system simplicity and element autonomy.
2Stability of the object's composition
If resource management systems follow fixed rules based on their response structure, then system stability is maintained, but adaptability to dynamic changes is reduced
Solution Approach 1:
The patent makes the resource management system dynamic by allowing management rules to change based on the 'supplied-state' of resources. The system can adapt its behavior and rules in response to dynamic changes in resource availability and demand, while maintaining stability through structured decision-making processes.
Solution Approach 2:
The patent changes the parameter of management rules based on the supplied-state of resources. When resources are supplied or become available, the system adjusts its management rules accordingly, enabling adaptability to dynamic changes while maintaining system stability through controlled parameter transitions.
3Reliability
If resource management systems use centralized control structures, then coordination is improved, but scalability to large-scale distributed systems is limited
Solution Approach 1:
The patent segments coordination functions into centralized decision-making and distributed enforcement. This allows the system to scale to large distributed systems while maintaining coordination efficiency, as each node can independently enforce decisions without requiring centralized coordination for every operation.
Solution Approach 2:
The patent adds a dimensional separation between logical decision-making and physical enforcement. This dimensional change enables the system to scale horizontally across distributed nodes while maintaining coordination efficiency through the logical-physical separation architecture.
4Stability of the object's composition
If resource management systems require elements to follow rules based on their response structure, then system consistency is maintained, but element autonomy is reduced
Solution Approach 1:
The patent segments the system into decision-making elements and enforcement elements. Enforcement elements maintain autonomy by independently executing decisions without requiring continuous rule-following, while decision-making elements ensure system consistency through centralized coordination. This segmentation preserves both consistency and autonomy.
Solution Approach 2:
The patent enables enforcement elements to serve themselves by independently executing decisions without requiring continuous guidance from centralized control. This self-service capability maintains element autonomy while system consistency is preserved through the structured decision-making-enforcement separation.
Data Source
AI summary
A system for management of resources with high scalability in geographical and management, having high variety of resources defined in the system, with high number of existing resources; wherein the system resolves the problems that have dynamic and interactive nature, and considers the concept of environment-system necessary for them; having complex decision-making capability in the field of resource management. Several patterns have been presented in the field of resource management with supporting of mentioned characteristics.