Cloud Resource Utilization Analysis Platform
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Solution Overview
Problem
Users of cloud computing resources are often unaware when they are approaching usage thresholds, leading to increased costs, potential loss of access, and resource inefficiencies, as they may not receive real-time alerts or recommendations to manage their resource utilization effectively.
Innovation Solution
A resource analysis platform that receives information on cloud computing resource utilization, determines a current score relative to predefined thresholds, and provides recommendations to prevent exceeding these thresholds, using machine learning and artificial intelligence to inform users and adjust resource usage dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users freely utilize cloud computing resources without real-time monitoring, then resource usage flexibility is improved, but resource waste and cost increase occur
Solution Approach 1:
The system implements real-time feedback mechanisms by continuously monitoring resource consumption metrics and providing users with current usage status, threshold alerts, and predictive notifications. This enables users to adjust their resource usage patterns dynamically based on actual consumption data, preventing waste while maintaining operational flexibility.
Solution Approach 2:
The system performs preliminary actions by establishing usage thresholds and providing advance warnings before users exhaust their allocated resources. Machine learning models predict future consumption patterns and notify users proactively, allowing them to take corrective actions before resource limits are reached or waste occurs.
2Productivity
If users are provided with detailed real-time resource utilization information, then resource management efficiency is improved, but system complexity increases
Solution Approach 1:
The system enables self-service by providing users with automated dashboards and tools that display their own resource consumption patterns, thresholds, and recommendations. Users can independently monitor and manage their usage without requiring complex administrative interfaces or manual intervention from service providers.
Solution Approach 2:
The system introduces an intermediary layer that sits between the complex cloud infrastructure and the end user. This intermediary translates complex technical metrics into simplified, actionable insights through standardized interfaces, making resource management accessible without exposing underlying system complexity.
3Reliability
If threshold alerts are sent frequently to users, then resource overutilization prevention is improved, but user annoyance and information overload increase
Solution Approach 1:
The system applies partial action by sending alerts selectively based on predefined thresholds and user preferences rather than continuously. It provides just enough information to ensure compliance without overwhelming users, adjusting the frequency and detail of notifications to match actual risk levels.
Solution Approach 2:
The system implements local quality by customizing alert characteristics based on specific resource types, user roles, and consumption patterns. Different users receive tailored notifications with relevant information for their specific usage contexts, making alerts more meaningful and less annoying.
Data Source
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AI summary
A device may receive information that identifies a resource utilization, by another device, of a cloud computing resource. The device may determine a current score based on the information that identifies the resource utilization and information that identifies a threshold. The current score may be indicative of the resource utilization relative to the threshold. The device may determine a prediction of a future score related to the resource utilization based on the current score and based on the threshold. The prediction of the future score may relate to satisfaction of the threshold. The device may determine a set of recommendations. The set of recommendations may be related to the resource utilization. The device may provide information that identifies the current score, the prediction of the future score, or the set of recommendations to permit or cause an action to be performed. The action may be related to the resource utilization.