Distributed Resource Management Workload Enforcement
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Solution Overview
Problem
In computing environments, workload management systems face challenges in preventing resource overutilization, which can lead to system instability and crashes, as existing systems struggle to accurately monitor and enforce resource allocation limits across distributed resources.
Innovation Solution
A method and system for monitoring resource utilization in a distributed resource management system, where a processor enforces actions on workloads exceeding their allocated resource limits, including termination, suspension, or checkpointing, to prevent overutilization and maintain system stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resource utilization is allowed to increase to improve productivity, then system productivity improves, but system stability deteriorates due to resource overutilization causing crashes
Solution Approach 1:
The system continuously monitors resource utilization metrics and compares them against defined thresholds. When thresholds are exceeded, the system automatically triggers enforcement actions such as workload suspension or termination, creating a closed-loop feedback mechanism that prevents resource overutilization while maintaining optimal productivity levels
Solution Approach 2:
The system dynamically adjusts resource allocation and enforcement actions based on real-time conditions. Rather than using static limits, the system adapts its resource management strategy by monitoring current utilization patterns and applying appropriate enforcement actions only when necessary, allowing flexible optimization of both productivity and stability
2Reliability
If resource allocation limits are strictly enforced to prevent overutilization, then system stability is maintained, but workload execution flexibility deteriorates
Solution Approach 1:
The system applies enforcement actions selectively rather than uniformly. It monitors multiple workloads and only applies suspension or termination actions to specific workloads that exceed resource limits, allowing other workloads to continue executing flexibly without restriction, thus maintaining overall system stability while preserving workload flexibility
Solution Approach 2:
The system pre-configures resource allocation limits and enforcement rules before workloads execute. By establishing thresholds and enforcement policies in advance, the system provides clear guidelines for workload execution while maintaining the flexibility to adapt enforcement actions based on real-time monitoring, balancing stability requirements with execution flexibility
3Measurement precision
If continuous monitoring of all workloads is implemented to accurately detect resource violations, then measurement precision improves, but system complexity increases
Solution Approach 1:
The system segments monitoring by dividing the workload population into groups based on resource type and allocation limits. Rather than implementing a single monolithic monitoring system for all workloads, the system creates specialized monitoring logic for different resource types (CPU, memory, storage, network), reducing overall system complexity while maintaining precise detection capabilities for each segment
Data Source
AI summary
Methods and systems of managing a resource in a distributed resource management system can include: monitoring, by at least one processor, utilization of the resource being used by at least one workload; and performing an enforcement action on a particular workload of the at least one workload when a utilization condition is met, and when the particular workload has a current resource utilization exceeding its associated resource allocation limit.