Hillsborough, CA, United States of America

Kin Lun Wong

USPTO Granted Patents = 3 

Average Co-Inventor Count = 8.7

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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3 patents (USPTO):Explore Patents

Title: Kin Lun Wong: Innovator in Cloud Computing

Introduction

Kin Lun Wong is a notable inventor based in Hillsborough, CA (US). He has made significant contributions to the field of cloud computing, holding a total of 3 patents. His work focuses on enhancing data management and connection pool efficiency in cloud environments.

Latest Patents

One of his latest patents is titled "Data management in a public cloud network." This invention discloses a computer-implemented method for predicting future usage of a cloud-based computing resource based on previous usage by multiple users. The method includes predicting potential anomaly events and implementing mitigation actions to address these anomalies effectively.

Another significant patent is the "Connection pool anomaly detection mechanism." This invention outlines techniques and structures designed to prevent the exhaustion of a database connection pool. It involves monitoring data to assess the risk of exhaustion and analyzing client behavior to throttle access when necessary.

Career Highlights

Kin Lun Wong has worked with prominent companies such as Salesforce, Inc. and Salesforce.com, Inc. His experience in these organizations has allowed him to develop innovative solutions that address critical challenges in cloud computing.

Collaborations

Throughout his career, Wong has collaborated with talented individuals, including Olumayokun Obembe and Da Zhao. These partnerships have contributed to the advancement of his projects and innovations.

Conclusion

Kin Lun Wong's contributions to cloud computing through his patents and career achievements highlight his role as a leading inventor in the industry. His innovative methods for data management and connection pool efficiency continue to influence the field significantly.

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