Mountain View, CA, United States of America

Petr V Lapukhov


Average Co-Inventor Count = 4.4

ph-index = 2

Forward Citations = 8(Granted Patents)


Location History:

  • Mountain View, CA (US) (2018 - 2021)
  • Menlo Park, CA (US) (2020 - 2021)
  • New York, NY (US) (2022)

Company Filing History:


Years Active: 2018-2022

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7 patents (USPTO):Explore Patents

Title: Petr V Lapukhov: Innovator in Network Resource Allocation

Introduction

Petr V Lapukhov is a prominent inventor based in Mountain View, CA (US), known for his significant contributions to network resource allocation technologies. With a total of seven patents to his name, he has made a substantial impact in the field of computer networking.

Latest Patents

Among his latest patents, one notable invention is titled "Systems and methods for configuring networks." This computer-implemented method involves generating a data center constraint model, filtering traffic matrices, obtaining physical network resources, and allocating these resources across multiple data centers to enhance capacity while adhering to the established constraints. Another important patent is focused on "Network resource allocation using forecasted network traffic patterns selected utilizing network topology." This method describes a systematic approach to allocating network resources based on forecasted traffic patterns, ensuring efficient resource management.

Career Highlights

Petr currently works at Facebook, Inc., where he applies his expertise in network systems to develop innovative solutions. His work has been instrumental in advancing the capabilities of network infrastructure, particularly in optimizing resource allocation.

Collaborations

Petr has collaborated with notable colleagues, including Paul M Saab and Omar Castillo Baldonado, contributing to various projects that enhance network performance and reliability.

Conclusion

Petr V Lapukhov's innovative work in network resource allocation has positioned him as a key figure in the technology sector. His patents reflect a deep understanding of network systems and a commitment to improving their efficiency.

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