Adaptive Resource Entitlement Control for Data Center Utilization
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Solution Overview
Problem
Current server allocation methods in data centers rely on static resource entitlements, leading to poor resource utilization and performance degradation due to varying demands, resulting in suboptimal performance and service level objective violations.
Innovation Solution
A dynamic resource allocation system that uses nested control loops and adaptive feedback control to adjust resource entitlements based on real-time utilization metrics and quality of service targets, ensuring optimal resource utilization and meeting service level objectives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static resource entitlement is used for long period, then system simplicity is maintained, but resource utilization deteriorates to below 20%
Solution Approach 1:
The patent implements dynamic resource entitlement adjustment by continuously monitoring resource utilization metrics and automatically modifying entitlement allocations. The system transitions from static to dynamic entitlement management, allowing real-time adaptation to changing workload patterns while maintaining automated control to avoid excessive complexity.
Solution Approach 2:
The patent establishes feedback loops that monitor resource utilization metrics and use this information to automatically adjust entitlement allocations. The feedback mechanism compares actual utilization against target values and modifies entitlements accordingly, creating a closed-loop system that improves resource utilization while maintaining automated operation.
2Device complexity
If static resource entitlement is used, then allocation simplicity is maintained, but response to demand spikes deteriorates causing performance degradation
Solution Approach 1:
The patent enables dynamic entitlement adjustment that responds automatically to demand spikes and changing workload conditions. The system continuously adapts entitlement allocations based on real-time metrics, ensuring reliable service level compliance without requiring complex manual intervention.
Solution Approach 2:
The patent implements feedback mechanisms that detect service level violations and automatically trigger entitlement adjustments. The feedback loop monitors performance metrics, compares them against service level objectives, and modifies entitlements to restore compliance, maintaining reliable service without complex manual processes.
3Device complexity
If static resource entitlement is used, then management simplicity is maintained, but adaptability to changing operating conditions deteriorates
Solution Approach 1:
The patent implements dynamic entitlement management that automatically adapts to changing operating conditions, workload patterns, and service demands. The system maintains management simplicity through automated decision-making algorithms that adjust entitlements without human intervention, balancing simplicity with adaptability.
Solution Approach 2:
The patent enables the resource management system to self-adjust entitlement allocations based on monitored performance metrics and changing conditions. The self-service mechanism automatically detects needs for entitlement modification and applies changes without external intervention, maintaining management simplicity while achieving high adaptability.
Data Source
AI summary
A control system for controlling resource entitlement for a resource compartment in a resource-on-demand system includes nested loops. An inner loop includes an adaptive feedback control system including an adaptive controller operable to automatically determining a gain for the control system. The gain varies depending on a demand of the resource compartment in a previous interval, and the adaptive controller is operable to determine a resource entitlement for the resource compartment for a current interval based on the gain and a target utilization for the current interval. An outer loop includes a feedback control system operable to automatically determine the target utilization for the current interval, wherein the target utilization varies based on at least one QoS metric measured for the previous interval and a QoS metric target.