Seattle, WA, United States of America

XingYu Liu

USPTO Granted Patents = 1 

Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Innovations by XingYu Liu in Cloud Computing

Introduction

XingYu Liu is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of cloud computing, particularly in optimizing resource allocation for database migration. His innovative approach has the potential to enhance the efficiency of cloud services for various customers.

Latest Patents

XingYu Liu holds a patent titled "Cloud-based compute resource configuration recommendation and allocation for database migration." This patent describes methods, systems, apparatuses, and computer-readable storage mediums aimed at determining and recommending optimal compute resource configurations for cloud-based resources. The technology utilizes a statistically robust approach to provide flexible recommendations that account for the full distribution of resource usage. By matching a customer's usage profile with those of similar customers who have already migrated to the cloud, Liu's invention recommends configurations that achieve performance levels akin to those of the matched set.

Career Highlights

XingYu Liu is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in cloud technology. His work focuses on enhancing the migration process to cloud services, making it more efficient and tailored to individual customer needs.

Collaborations

XingYu Liu has collaborated with notable colleagues such as Wenjing Wang and Joyce Yu Cahoon. Their combined expertise contributes to the advancement of cloud computing technologies and the development of innovative solutions.

Conclusion

XingYu Liu's contributions to cloud computing through his patent and work at Microsoft Technology Licensing, LLC, highlight his role as a key innovator in the field. His efforts in optimizing resource allocation for database migration are paving the way for more efficient cloud services.

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