AI Cloud Profile Generation for Proactive Resource Management
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Solution Overview
Problem
Current cloud management systems rely heavily on professional technicians and passive auxiliary software, lacking proactive and intelligent management solutions, which can lead to inefficient and ineffective cloud resource utilization and security monitoring.
Innovation Solution
The integration of Artificial Intelligence (AI) into cloud management, which generates profiles based on user and tenant behavior data to provide proactive and intelligent cloud management suggestions, including alert, optimization, and prediction recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cloud management relies on professional technicians and passive auxiliary software, then operational control can be maintained, but management efficiency and proactivity are insufficient
Solution Approach 1:
The system enables self-service through automated profile generation from behavior data and self-executing management suggestions. The cloud management system automatically analyzes user behavior, generates profiles, identifies optimization opportunities, and provides actionable suggestions without requiring manual intervention from technicians, thus improving efficiency while reducing operational complexity
Solution Approach 2:
The patent replaces manual mechanical analysis and decision-making processes with AI-based automated systems. Behavior data is automatically collected, profiles are generated through algorithmic processing, and management suggestions are produced by the AI system, substituting the need for human technicians to manually analyze and manage cloud resources
2Reliability
If passive auxiliary software is used for cloud management, then system simplicity is maintained, but proactive management capabilities are lacking
Solution Approach 1:
The system implements continuous feedback loops by monitoring user behavior data, updating profiles dynamically, and generating management suggestions based on real-time analysis. This feedback mechanism enables proactive security monitoring and resource optimization, improving reliability while the automated nature keeps complexity manageable
Solution Approach 2:
The system performs preliminary actions by proactively generating management suggestions before issues arise. By analyzing behavior patterns and generating optimization recommendations in advance, the system improves security and resource management effectiveness without requiring complex reactive measures
3Productivity
If AI-based profile generation is implemented, then intelligent management suggestions can be provided, but data processing complexity increases
Solution Approach 1:
The AI system performs self-service by automatically collecting behavior data, generating profiles, and producing management suggestions without human intervention. This automation improves the quality and quantity of management insights while the system handles the complexity of data processing internally, keeping the user interface simple
Data Source
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AI summary
The present disclosure provides technical solutions related to intelligent cloud management based on profile. Artificial intelligent is applied to cloud management and cloud management suggestion may be proposed intelligently. In daily work, behaviors in using cloud resources may show characteristics of cloud users or cloud tenants themselves. The technical solution of intelligent cloud management of the present disclosure generates profile identifying cloud using characteristics by extracting behavior data in using cloud and intelligently proposes cloud management suggestions based on the profile.