Hanover, NH, United States of America

Bruno Korbar

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2020.


% Patents Active = 100.0

 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Bruno Korbar - Innovator in Virtual Machine Demand Prediction

Introduction

Bruno Korbar is a notable inventor based in Hanover, NH (US). He has made significant contributions to the field of technology, particularly in the area of virtual machine demand prediction. His innovative approach has the potential to enhance the efficiency of virtual machine utilization in various computing environments.

Latest Patents

Bruno holds a patent for the "Prediction of Virtual Machine Demand." This invention involves recording the cardinality of requested virtual machines over time for each selected category. A prediction algorithm is employed to forecast the future demand for virtual machines, with a focus on minimizing under-prediction costs. The invention ensures that the booted virtual machines are configured with user-specific compute and networking settings, optimizing their performance based on predicted demand.

Career Highlights

Bruno Korbar is currently associated with Microsoft Technology Licensing, LLC, where he applies his expertise in technology and innovation. His work at Microsoft has allowed him to contribute to cutting-edge developments in the tech industry.

Collaborations

Bruno collaborates with talented individuals such as Yu Yao and Sushant Pramod Rewaskar. Their combined efforts in the field of technology foster an environment of innovation and creativity.

Conclusion

Bruno Korbar's contributions to virtual machine demand prediction exemplify the impact of innovative thinking in technology. His work not only advances the field but also sets a precedent for future developments in virtual machine management.

Profile summary based on public USPTO records.
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