Daejeon, South Korea

Jong Tae Song

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.7

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2010-2024

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4 patents (USPTO):Explore Patents

Title: Innovations of Jong Tae Song

Introduction

Jong Tae Song is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of computing and telecommunications, holding a total of four patents. His work focuses on enhancing computing systems and scheduling methods, showcasing his innovative approach to technology.

Latest Patents

One of Jong Tae Song's latest patents is the "Disaggregation Computing System and Method." This invention discloses a disaggregation computing system that includes a local computing device and a remote computing device, connected through a disaggregation network. The system is designed to check response delays for accessing remote memory and control access based on these delays. Another notable patent is the "Parallel Scheduling Method and Parallel Scheduling Apparatus." This apparatus features an information managing unit that generates request information for scheduling, along with two scheduling units that improve scheduling performance and reduce implementation complexity. This innovation ensures low delay and transmission fairness among virtual output queues, making it applicable to various scheduling algorithms.

Career Highlights

Jong Tae Song is affiliated with the Electronics and Telecommunications Research Institute, where he continues to develop groundbreaking technologies. His work has significantly impacted the efficiency and performance of computing systems.

Collaborations

He has collaborated with notable coworkers, including Dae Ub Kim and Joon Ki Lee, contributing to various projects that enhance technological advancements.

Conclusion

Jong Tae Song's innovative contributions to computing and telecommunications demonstrate his expertise and commitment to advancing technology. His patents reflect a deep understanding of complex systems and a drive to improve performance and efficiency in the field.

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