Workload Management Controller Dynamic Headroom Adjustment
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Solution Overview
Problem
Current IT infrastructure servers often operate with unused resource headroom, leading to unnecessary management and licensing costs due to inefficient resource allocation, as they were initially deployed without adequate planning for capacity and typically overprovision resources, resulting in wasted capacity.
Innovation Solution
A workload management controller that detects and tracks resource consumption volatility patterns, dynamically adjusting resource headroom based on actual usage patterns to optimize resource allocation and reduce waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If servers are overprovisioned with static headroom to handle growth and short-term spikes, then reliability is improved, but resource utilization deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from static headroom allocation to dynamic headroom adjustment. The system continuously monitors resource consumption patterns and automatically adjusts headroom values in real-time based on actual workload volatility, allowing the system to adapt to changing conditions rather than relying on predetermined static values.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring resource consumption metrics and using this information to adjust headroom allocation. The system measures actual resource usage, compares it against thresholds, and dynamically modifies headroom settings based on observed patterns, creating a closed-loop control system that responds to actual system state.
2Ease of operation
If static headroom values are used to simplify management, then ease of operation is improved, but adaptability deteriorates
Solution Approach 1:
The patent applies self-service by enabling the system to automatically manage its own headroom allocation without requiring manual intervention. The workload management controller autonomously monitors resource consumption, detects volatility patterns, and adjusts headroom values dynamically, allowing the system to self-optimize resource allocation based on actual usage patterns.
Solution Approach 2:
The system transitions from static to dynamic headroom management, where headroom values automatically adapt to changing workload conditions. This dynamic approach maintains ease of operation by removing the need for manual configuration while simultaneously improving adaptability to varying resource demands.
3Device complexity
If coarse granularity tracking intervals are used to reduce monitoring overhead, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent applies partial action by implementing adaptive sampling rates that adjust monitoring intensity based on system conditions. During periods of low volatility, the system uses coarser granularity to reduce overhead, while during periods of high volatility or change, it increases monitoring precision. This allows the system to achieve sufficient measurement accuracy without consistently maintaining high monitoring overhead.
Data Source
AI summary
A computer system comprises a workload management controller that detects and tracks resource consumption volatility patterns and automatically and dynamically adjusts resource headroom according to the volatility patterns. The controller can be hardware or a combination of software and hardware for executing the software. Also, a computer-implemented workload management method includes a computer detecting and tracking resource consumption volatility patters. The computer automatically and dynamically adjusts resource headroom according to the volatility patterns.