Beijing, China

Lois Wang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 16(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Innovations by Lois Wang in Automated Software Deployment

Introduction

Lois Wang is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of software deployment, particularly in distributed systems. His innovative approach focuses on automating the deployment process, making it more efficient and reliable.

Latest Patents

Lois Wang holds a patent for an invention titled "Automated software deployment triggered by state differences in distributed systems." This patent describes an automated arrangement for deploying software updates to a distributed system based on state differences. The system utilizes a manifest that defines a target snapshot of the desired state after the update. By calculating the state difference between the current and target states, a rule-based engine generates a sequence of actions to achieve the desired state. This allows software developers and system administrators to focus on specifying the target state rather than the complexities of changing the system.

Career Highlights

Lois Wang is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the realm of software technology. His work has been instrumental in enhancing the efficiency of software deployment processes, which is crucial for maintaining the performance of distributed systems.

Collaborations

Lois has collaborated with notable colleagues such as Junbo Zhang and Tony Yip. Their combined expertise has contributed to the advancement of technologies in their field.

Conclusion

Lois Wang's contributions to automated software deployment represent a significant advancement in the management of distributed systems. His innovative patent not only streamlines the update process but also empowers developers and administrators to achieve their desired system states more effectively.

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