Sunnyvale, CA, United States of America

Steven Padgett

USPTO Granted Patents = 13 

 

Average Co-Inventor Count = 1.7

ph-index = 3

Forward Citations = 245(Granted Patents)


Location History:

  • Mountain View, CA (US) (2015 - 2017)
  • Sunnyvale, CA (US) (2015 - 2020)

Company Filing History:


Years Active: 2015-2020

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13 patents (USPTO):Explore Patents

Title: Innovations of Steven Padgett

Introduction

Steven Padgett is a prominent inventor based in Sunnyvale, California. He has made significant contributions to the field of network management, holding a total of 13 patents. His work focuses on optimizing packet flow in local networks, which is crucial for enhancing network efficiency and performance.

Latest Patents

Among his latest patents are innovative systems and methods for running network egress links with small buffers at high utilization. These methods manage packet flow in a way that allows network devices at the edge to use minimal buffer memory while maximizing bandwidth on interconnects between local and external networks. By scaling back packet flows facing external network issues, redundant traffic is reduced, enabling the use of small buffers in edge devices. A flow source marks certain packets for preferential treatment, adjusting the flow rate in response to transmission failures of these marked packets. This ensures that marked packets are less likely to be lost on the local network compared to the external network.

Career Highlights

Steven Padgett has built a successful career at Google Inc., where he has been instrumental in developing advanced networking technologies. His expertise in managing packet flow has positioned him as a key figure in the industry.

Collaborations

He has collaborated with notable colleagues such as Amin Vahdat and Ankur Jain, contributing to various innovative projects that enhance network performance.

Conclusion

Steven Padgett's work in network management and his numerous patents reflect his dedication to improving technology in this field. His innovations continue to influence how networks operate efficiently today.

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