Cupertino, CA, United States of America

Xiaojun Liang


Average Co-Inventor Count = 2.9

ph-index = 1


Company Filing History:


Years Active: 2013-2016

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2 patents (USPTO):

Title: Innovations by Xiaojun Liang

Introduction

Xiaojun Liang is an accomplished inventor based in Cupertino, CA. He has made significant contributions to the field of server performance analysis and resource management. With a total of 2 patents, his work focuses on enhancing the efficiency of enterprise server systems.

Latest Patents

One of Xiaojun Liang's latest patents is titled "Diagnosis of application server performance problems via thread level pattern analysis." This innovation analyzes the performance of servers managing groups of servers, such as in cloud environments. It identifies patterns of threads executed in the server and issues commands to the operating system to return resource consumption values. These values are then used to generate graphs depicting resource consumption over time, providing insights into task breakdowns and latency information.

Another notable patent is the "Resource management system and apparatus." This computer-implemented method efficiently allocates resources for enterprise server systems through a proportional integral derivative scheme. It involves defining set point parameters and gain parameters to calculate initial maximum allocations and subsequent resource allocations, ensuring optimal resource management.

Career Highlights

Xiaojun Liang is currently employed at VMware, Inc., where he continues to innovate in the field of server technology. His work has been instrumental in improving server performance and resource allocation strategies.

Collaborations

Xiaojun has collaborated with notable colleagues, including Rajit S Kambo and Xuwen Yu, contributing to advancements in their respective fields.

Conclusion

Xiaojun Liang's innovative patents and contributions to server performance and resource management highlight his expertise and commitment to advancing technology. His work continues to influence the efficiency of enterprise server systems.

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