Byeong Hui Kim

Title: Byeong Hui Kim: Innovator in Storage Systems

Introduction

Byeong Hui Kim is a notable inventor based in Suwon-si, South Korea. He has made significant contributions to the field of storage systems, holding a total of 3 patents. His work focuses on enhancing the quality of service in storage technologies through innovative approaches.

Latest Patents

One of his latest patents is titled "Storage system with improved quality of service." This invention involves a storage system that connects to a machine learning model embedded device. The device includes a trained simulation model that optimizes quality of service (QoS) based on a loss function derived from comparing predicted QoS data with real QoS data. The model is designed to either search for a workload that increases QoS or to find parameters that maximize QoS for a fixed workload. Additionally, the machine learning model embedded device features a map table that stores optimized parameters calculated by the simulation model.

Another significant patent is "Storage device, storage system and operating method thereof." This invention describes a storage device that includes an interface for receiving data and a corresponding logical block address (LBA) from a host. The device utilizes a nonvolatile memory (NVM) to store data, which may include first data with a stream ID and second data without one. A LBA predictor employs a neural network model to provide a predicted stream ID for the second data based on features associated with the received LBA values.

Career Highlights

Byeong Hui Kim is currently employed at Samsung Electronics Co., Ltd., where he continues to innovate in the field of storage technology. His work has been instrumental in advancing the capabilities of storage systems, particularly in relation to machine learning applications.

Collaborations

He collaborates with talented coworkers, including Ji Min Lee and Kang Ho Roh, who contribute to the development of cutting-edge storage solutions.

Conclusion

Byeong Hui Kim's contributions to storage systems reflect his commitment to innovation and quality. His patents demonstrate a forward-thinking approach that integrates machine learning with storage technology, paving the way for enhanced performance in data management.