Virtual Environment Pool Management for Cloud Resource Contention
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Solution Overview
Problem
Cloud computing environments face performance issues due to resource contention among virtual guest environments, leading to noise pollution and increased costs when maintaining high performance, while existing solutions like private clouds or bare metal provisioning are either expensive or delayed.
Innovation Solution
A system manages pools of virtual computing environments by dynamically creating or removing instances based on processor utilization thresholds, allocating jobs to underutilized environments, and terminating underperforming ones, ensuring efficient resource utilization and continuous throughput without interrupting job processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple virtual guest environments share cloud computing resources, then resource utilization efficiency is improved, but performance degradation and noise pollution occur due to resource contention
Solution Approach 1:
The system dynamically adjusts the number of active virtual computing environment instances based on real-time job queue depth and processor utilization thresholds. When jobs accumulate and under-utilized processors are detected, new instances are automatically created to handle the workload. When the job queue is depleted and processors become idle, instances are terminated to conserve resources. This dynamic scaling resolves the contradiction by adapting resource allocation to actual demand, maintaining high performance when needed while maximizing utilization efficiency during normal operation.
2Reliability
If private clouds or bare metal provisioning are used to ensure high performance, then processing performance and reliability are improved, but costs increase and provisioning delays occur
Solution Approach 1:
The system implements self-service automation through the Pool Manager, which automatically monitors job queues, detects when processor utilization falls below thresholds, creates new virtual computing environment instances, and terminates idle instances without human intervention. This eliminates the need for manual bare metal provisioning while maintaining performance reliability, resolving the contradiction by providing automated performance assurance without the complexity and cost of manual infrastructure management.
Solution Approach 2:
Instead of provisioning expensive bare metal infrastructure, the system creates virtual copies of computing environments from standardized templates. These virtual instances can be rapidly deployed and scaled to meet performance requirements, providing the reliability of dedicated resources without the cost and complexity of physical hardware provisioning. The copying mechanism allows performance optimization through virtualization rather than physical duplication.
3Productivity
If virtual computing environment instances are dynamically created and removed, then resource allocation efficiency is improved, but system complexity increases
Solution Approach 1:
The Pool Manager implements feedback mechanisms by continuously monitoring job queue depth and processor utilization metrics, comparing them against predefined thresholds, and automatically triggering instance creation or termination actions. This closed-loop control system manages the complexity of dynamic instance management through rule-based automation, resolving the contradiction by providing efficient resource allocation through threshold-driven feedback control rather than complex manual management.
Data Source
AI summary
Data processing jobs are concentrated into instances of computing environments which instances are added to guarantee availability, while other instances may become idle and removed. Such data processing jobs are each assigned to a program running on (at least) one processor, while at the same time running such jobs in the smallest practical number of Virtual Computing Environments, while also ensuring sufficient Virtual Computing Environments are on standby for new jobs as they arise, while facilitating maintenance functions.