Stanford, CA, United States of America

Youngsuk Park


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Youngsuk Park: Innovator in Resource Management Technology

Introduction

Youngsuk Park is a notable inventor based in Stanford, CA. He has made significant contributions to the field of resource management through his innovative patent. His work focuses on enhancing the efficiency of computing resources, which is crucial in today's technology-driven world.

Latest Patents

Youngsuk Park holds a patent for a "System and method for resource scaling for efficient resource management." This invention involves a system and method for automatically adjusting computing resources provisioned for a computer service or application. By applying historical resource usage data to a predictive model, the system generates predictive resource usage. It simulates this usage for various service configurations, determining scaling requirements and resource wastage for each configuration. A cost value is generated based on these factors, which is then used to select the most efficient configuration for the service. Additionally, the method may utilize a linear quadratic regulator (LQR) to find an optimal stationary policy for resource provisioning.

Career Highlights

Youngsuk Park is currently employed at Adobe, Inc., where he continues to develop innovative solutions in resource management. His expertise in predictive modeling and resource scaling has positioned him as a valuable asset in the tech industry.

Collaborations

Some of his notable coworkers include Kanak Vivek Mahadik and Ryan A Rossi, who contribute to the collaborative environment at Adobe, Inc. Their combined efforts enhance the development of cutting-edge technologies.

Conclusion

Youngsuk Park's contributions to resource management technology exemplify the importance of innovation in optimizing computing resources. His patent reflects a forward-thinking approach that addresses the challenges of resource allocation in modern applications.

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