Zhou Yang

Title: Zhou Yang: Inventor in Predictive Maintenance and Cloud Computing

Introduction

Zhou Yang is an inventor based in Xi’an, China, whose patent work addresses predictive maintenance and resource allocation in cloud computing. The supplied information lists him as working at SAP SE and credits him with 2 patents.

Latest Patents

“Predictive System Maintenance Model Based on Machine Learning” describes a cloud-based predictive maintenance module that uses historical and varied operational data to improve maintenance decisions. It defines a downtime loss function and applies a multi-step time-series forecasting model to identify a maintenance window intended to minimize downtime. The approach also uses historical data to help determine when to perform seamless upgrades.

“Resource Allocation in a Cloud Computing System Based on Predictions of Workload Probability Parameters” concerns allocating computing resources according to predicted workload probabilities. The disclosed method collects historical workload data, predicts parameters for future workloads, and determines resource allocations using current resources, quality-of-service requirements, and upper and lower resource bounds.

Career Highlights

The two listed patents reflect work on applying predictive models to operational planning. One focuses on reducing downtime through maintenance scheduling, while the other addresses matching cloud resources to anticipated workloads and service requirements.

Collaborations

The supplied information names Jing Guo and Jingtao Li as Zhou Yang’s coworkers. It does not specify their roles in the listed patent work.

Conclusion

Zhou Yang’s listed inventions apply forecasting and data-driven decision-making to maintenance planning and cloud resource management.