Cloud Resource Consumption Hierarchy Automation
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Solution Overview
Problem
Existing hierarchical mapping systems for organizations are inflexible and require manual, ad-hoc modifications based on human perception, making it difficult to efficiently manage and update organizational structures in response to changing cloud computing resource consumption patterns.
Innovation Solution
A system comprising a metrics aggregator module and a hierarchy rules module that receives data on computing resource consumption to automatically generate and modify organizational hierarchies, allowing for scalable and flexible representation of cloud resource consumer nodes within a hierarchical structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual ad-hoc modifications are used to update organizational hierarchies, then flexibility in human perception is maintained, but the system becomes inflexible and difficult to update efficiently
Solution Approach 1:
The system automatically generates organizational hierarchy modifications by analyzing cloud resource consumption data without requiring manual human intervention. The hierarchy rules module autonomously processes metrics and generates hierarchy changes, allowing the system to self-update based on actual resource usage patterns rather than relying on manual ad-hoc modifications
Solution Approach 2:
The system implements a feedback loop where cloud resource consumption metrics are continuously collected, analyzed, and used to generate hierarchy modifications. This closed-loop feedback mechanism ensures the organizational hierarchy dynamically adapts to actual resource consumption patterns, improving both flexibility and update efficiency simultaneously
2Loss of information
If hierarchical mappings are based on human perception, then subjective organizational views are captured, but the mappings do not reflect actual resource consumption patterns
Solution Approach 1:
The system replaces manual human perception-based hierarchy creation with an automated computational system that objectively analyzes cloud resource consumption metrics. This substitution eliminates subjective bias and ensures the organizational hierarchy reflects actual measured resource usage data rather than human perceptions
Solution Approach 2:
The system creates an accurate digital copy of the organizational structure by mapping cloud resource consumption data to organizational hierarchies. This digital representation precisely mirrors actual resource usage patterns, providing a faithful copy of the true organizational resource landscape without human interpretation errors
Data Source
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AI summary
Maintaining an organizational hierarchy by receiving data indicative of computing resource consumption by one or more leaf nodes, wherein the leaf nodes are part of a hierarchy including the leaf nodes and higher level nodes; and generating one or more modifications for the hierarchy based on the data indicative of computing resource consumption.