Milpitas, CA, United States of America

Pavan Kumar Konka

USPTO Granted Patents = 12 

Average Co-Inventor Count = 4.5

ph-index = 4

Forward Citations = 64(Granted Patents)


Company Filing History:


Years Active: 2018-2024

where 'Filed Patents' based on already Granted Patents

12 patents (USPTO):

Title: Pavan Kumar Konka: Innovator in Multi-Processing Computing Environments

Introduction

Pavan Kumar Konka is a distinguished inventor based in Milpitas, CA, known for his significant contributions to the field of multi-processing computing environments. With a total of 12 patents to his name, he has made remarkable advancements that enhance the efficiency and reliability of computing systems.

Latest Patents

Among his latest patents, "Scalable leadership election in a multi-processing computing environment" stands out. This invention introduces a global witness process that operates across multiple clusters, allowing for efficient resource sharing. The process listens for leadership and resource requests, ensuring that only one request is granted while managing multiple contemporaneous requests. Another notable patent is "Managing incremental snapshots for fast leader node bring-up." This innovation focuses on the management of metadata across interconnected computing nodes, facilitating the quick recovery of a new leader node in case of failures.

Career Highlights

Pavan Kumar Konka is currently employed at Nutanix, Inc., where he continues to push the boundaries of technology. His work has been instrumental in developing systems that improve data management and resource allocation in complex computing environments.

Collaborations

He collaborates with talented individuals such as Karan Gupta and Rishi Bhardwaj, contributing to a dynamic team that drives innovation at Nutanix.

Conclusion

Pavan Kumar Konka's contributions to the field of computing are invaluable, showcasing his expertise and commitment to advancing technology. His patents reflect a deep understanding of complex systems and a dedication to improving operational efficiency.

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