Sunnyvale, CA, United States of America

Shaobo Sun

This inventor holds 1 USPTO granted patent. Top assignee: Linkedin Corporation. Active years: 2017.


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Innovations of Shaobo Sun in Self-Healing Job Executor Pool Technology

Introduction

Shaobo Sun is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of technology, particularly with his innovative patent related to job execution systems. His work focuses on enhancing the reliability and efficiency of job executors in computing environments.

Latest Patents

Shaobo Sun holds a patent for a "Self-healing job executor pool." This invention addresses the challenges faced when a job executing on an executor fails. The technology involves a server that detects the failure and determines the cause based on a set of executor-related factors. In response to the failure, the server adjusts the state of the executor to a known good state, ensuring that the system can recover and continue functioning effectively. This innovation is crucial for maintaining operational continuity in complex computing systems.

Career Highlights

Shaobo Sun is currently employed at LinkedIn Corporation, where he applies his expertise in technology and innovation. His work at LinkedIn has allowed him to contribute to the development of advanced systems that enhance user experience and operational efficiency.

Collaborations

Some of his notable coworkers include Peter Hao Manh Nguyen and Dwight Edward Holman. Their collaboration within the company fosters an environment of innovation and shared knowledge, further driving advancements in technology.

Conclusion

Shaobo Sun's contributions to the field of technology, particularly through his patent on self-healing job executor pools, demonstrate his commitment to innovation and problem-solving. His work not only enhances system reliability but also sets a foundation for future advancements in job execution technologies.

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