Server Workload Distribution for VOC Exposure Reduction
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Solution Overview
Problem
Modern computing systems in data centers emit volatile organic compounds (VOCs) that can cause health issues and are exacerbated by high processing loads, necessitating a method to distribute workloads to minimize exposure risks.
Innovation Solution
A computer-implemented method using a learning model to identify and implement workload distribution options that minimize VOC exposure by predicting off-gassing rates and concentrations, balancing efficiency with VOC reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If workload is concentrated on fewer servers to improve processing efficiency, then productivity increases, but VOC exposure risk increases
Solution Approach 1:
The patent segments the workload across multiple servers rather than concentrating it on fewer servers. The learning model evaluates multiple distribution options and selects one that spreads processing tasks across more servers, thereby reducing the VOC concentration from any single server while maintaining overall processing efficiency through parallel processing.
2Object-affected harmful factors
If workload is distributed across more servers to reduce VOC exposure, then VOC exposure risk decreases, but device complexity increases
Solution Approach 1:
The system employs a learning model that automatically evaluates multiple workload distribution options and selects the optimal configuration. This self-service approach allows the system to autonomously manage the complexity of distributing workloads across multiple servers, reducing VOC exposure without requiring manual intervention to manage the increased device complexity.
Solution Approach 2:
The learning model uses feedback from evaluating distribution options to determine the optimal workload configuration. By continuously assessing the VOC exposure risk associated with different distribution scenarios and adjusting the workload allocation accordingly, the system manages device complexity through intelligent feedback-driven decision-making.
3Productivity
If traditional workload distribution methods are used to maintain computing efficiency, then productivity is maintained, but health safety deteriorates due to increased VOC exposure
Solution Approach 1:
The patent changes the parameters used for workload distribution by incorporating VOC exposure risk as a new criterion alongside traditional computing efficiency metrics. The learning model evaluates distribution options based on multiple parameters including processing efficiency and predicted VOC concentrations, selecting configurations that optimize both productivity and health safety simultaneously.
Data Source
AI summary
A computer-implemented method to reduce a risk of exposure to volatile organic compounds. The method comprises obtaining a workload for a set of servers in a computing space, wherein the set of servers off-gas a volatile organic compound during operation. The method also includes identifying, for the workload, a set of distributions options to process the workload with the set of servers. The method further includes determining, by a learning model, a volatile organic compound exposure risk for each distribution option. The method includes implementing, based on the determining, a first distribution option of the set of distribution options to process the workload.