Bengaluru, India

Pawan Prakash Sharma


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Innovations of Pawan Prakash Sharma

Introduction

Pawan Prakash Sharma is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of technology, particularly in systems and methods for data aggregation in multi-core environments. His work is recognized for its innovative approach to enhancing communication and efficiency within cluster configurations.

Latest Patents

Pawan Prakash Sharma holds a patent titled "Systems and methods for cluster statistics aggregation." This invention addresses the challenges faced by multiple multi-core nodes in a cluster. The patent describes a process where filtered statistics clients contact an aggregator on a master node, known as the cluster configuration owner (CCO) or cluster coordinator. The aggregator relays client requests to packet engines and other nodes in the cluster, ensuring that aggregated responses are efficiently communicated back to the clients. The communication between nodes is secured through a static authenticated channel, enhancing the reliability of data transmission.

Career Highlights

Pawan Prakash Sharma is currently employed at Citrix Systems, Inc., where he continues to innovate and develop solutions that improve system performance and data management. His expertise in cluster statistics aggregation has positioned him as a valuable asset in the tech industry.

Collaborations

Pawan has collaborated with various professionals in his field, including his coworker Devesh Prakash. Their combined efforts contribute to the advancement of technology and the development of innovative solutions.

Conclusion

Pawan Prakash Sharma's contributions to technology through his patent and work at Citrix Systems, Inc. highlight his role as an influential inventor in the field of data aggregation. His innovative solutions continue to shape the future of multi-core systems and enhance communication efficiency.

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