Cloud Resource Utilization Control Module for Runaway Request Termination
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Solution Overview
Problem
Cloud computing resources are often misused due to 'runaway requests' that exceed usage thresholds, leading to excessive costs and resource allocation issues, where conventional approaches fail to timely intervene and optimize resource utilization effectively.
Innovation Solution
Implementing a resource utilization control module that monitors cloud computing resource usage in real-time, automatically terminates requests exceeding defined thresholds, and provides notifications with recommendations to optimize resource allocation and usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cloud computing resources are allocated to handle user requests, then service availability and user satisfaction are improved, but resource misuse and excessive costs occur when runaway requests exceed usage thresholds
Solution Approach 1:
The system performs preliminary actions by establishing usage thresholds and monitoring mechanisms before runaway requests occur. The resource utilization control module proactively defines acceptable usage limits and continuously monitors resource consumption patterns, enabling early detection and intervention before excessive resource consumption happens.
Solution Approach 2:
The system implements feedback mechanisms where the resource utilization control module continuously monitors resource usage metrics and compares them against predefined thresholds. When thresholds are exceeded, the system provides feedback through automated notifications and recommendations to users, creating a closed-loop control system that prevents resource misuse.
2Device complexity
If conventional approaches are used to manage cloud computing resources, then system simplicity is maintained, but timely intervention and optimization of resource utilization fail to occur
Solution Approach 1:
The resource utilization control module operates autonomously without requiring complex manual intervention. It automatically monitors resource usage, detects threshold violations, generates notifications, and provides recommendations. This self-service capability enables timely resource optimization while maintaining relative system simplicity through automation rather than human management.
Solution Approach 2:
The resource utilization control module serves multiple functions within a single integrated system: monitoring resource usage, detecting threshold violations, notifying users, generating recommendations, and tracking request patterns. This multi-functionality consolidates what would otherwise require multiple separate systems into one universal module.
3Productivity
If usage thresholds are enforced to prevent resource misuse, then resource allocation efficiency is improved, but user flexibility and request execution freedom are reduced
Solution Approach 1:
Instead of rigidly blocking requests that approach thresholds, the system provides feedback through notifications and recommendations to users. This allows users to understand their resource consumption patterns and make informed decisions about request modifications, maintaining flexibility while promoting efficient resource allocation through awareness rather than forced restriction.
Solution Approach 2:
The system allows requests to proceed even when approaching threshold limits, rather than completely blocking them. Termination only occurs when thresholds are clearly exceeded, representing a partial action approach that balances resource protection with user flexibility. The system tolerates some excess usage before taking corrective action.
Data Source
AI summary
Various embodiments of the present technology can include systems, methods, and non-transitory computer readable media configured to receive request information associated with a first request. The request information comprises user information associated with a first user. A first usage threshold associated with the first user is determined based on the user information. A determination is made that the first request has exceeded the first usage threshold. The first request is automatically terminated based on the determination that the first request has exceeded the first usage threshold.


