Dynamic Resource Utilization Thresholds via AI Classification
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Solution Overview
Problem
Traditional methods for managing resource utilization are inefficient and insecure, as they rely on static monitoring metrics that fail to accommodate dynamic resource requirements and often result in over-utilization due to lapses in monitoring across distributed and varied usage scenarios.
Innovation Solution
A system that uses network and user computing devices, along with terminal devices, to establish and manage customizable resource utilization thresholds through encryption and authentication, utilizing AI techniques for enhanced accuracy and security, allowing real-time monitoring and transaction authorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static monitoring metrics are used, then device complexity is reduced, but adaptability to dynamic resource requirements deteriorates
Solution Approach 1:
The patent implements dynamic monitoring metrics that automatically adjust based on user profiles and resource utilization patterns. The system transitions from static thresholds to dynamic evaluation criteria that adapt to changing resource requirements, allowing the monitoring system to respond to varying conditions without manual reconfiguration.
Solution Approach 2:
The system changes monitoring parameters dynamically based on user-specific profiles and utilization patterns. Instead of using fixed metrics, the system adjusts parameters such as time windows, threshold values, and evaluation criteria according to the specific needs of each user and the current state of resource utilization.
2Reliability
If continuous monitoring is implemented, then reliability of resource utilization management is improved, but loss of time increases
Solution Approach 1:
The system performs self-monitoring and self-evaluation of resource utilization against user profiles. The monitoring process is automated and does not require continuous manual intervention, allowing the system to track and evaluate utilization automatically while reducing the time burden on administrators.
Solution Approach 2:
The system implements feedback mechanisms that automatically adjust monitoring based on utilization patterns and user behavior. The system learns from historical data and adapts its monitoring frequency and intensity, reducing unnecessary monitoring time while maintaining reliable detection of over-utilization conditions.
3Reliability
If encryption and authentication techniques are applied, then security of resource utilization management is improved, but device complexity increases
Solution Approach 1:
The patent introduces a certificate authority (CA) as an intermediary that manages authentication and encryption between users and the resource monitoring system. The CA issues digital certificates that simplify the authentication process by pre-establishing trust relationships, reducing the complexity of direct cryptographic interactions between all system components.
Solution Approach 2:
The system performs preliminary authentication and encryption setup during the initial connection phase. User profiles and authentication credentials are established in advance, allowing subsequent resource utilization monitoring to proceed with pre-validated security measures, reducing the need for repeated complex authentication operations.
4Adaptability or versatility
If customizable user profiles are implemented, then adaptability to individual user needs is improved, but device complexity increases
Solution Approach 1:
The system implements a universal user profile framework that can accommodate diverse monitoring needs through a single standardized structure. The profile system uses common data types and evaluation mechanisms that work across different user types and resource categories, avoiding the need for separate specialized systems for each user scenario.
Data Source
AI summary
Disclosed are systems and methods for automatically applying resource utilization thresholds. The systems and methods allow resource utilization to be managed effectively, efficiently, and in a secure fashion. The system can utilization artificial intelligence technology to enhance the accuracy and customization of resource utilization thresholds by properly classifying resource utilization demands and applying threshold limitations directed to particular classifications of resource utilizations.


