https://scholar.dgist.ac.kr/handle/20.500.11750/6299 Sun, 05 Apr 2026 05:13:04 GMT 2026-04-05T05:13:04Z https://scholar.dgist.ac.kr/handle/20.500.11750/59052 Title: Key-value storage device, host and host storage system Author(s): 임준수; 박주형; 이성진; 구진형 Abstract: The invention provides a key-value storage device, a host and a host storage system. A host in communication with a key-value storage device includes: a host memory storing a computer program; and a host controller including a processor configured to run a computer program. The computer program is configured, when executed, to cause the processor to process a file or directory related to file data received by an application stored in the host, and to provide the file or directory to the key-value storage device, map the file or directory to a key-value object that can be stored in the key-value storage device, in one embodiment, a method includes storing a key-value object, converting a file operation requested by an application stored in a host into a key-value operation executable in a key-value storage device, managing transactions related to the key-value object and the key-value operation, and providing the transactions to the key-value storage device, and abstracting a file or directory into a meta-object or a data object. https://scholar.dgist.ac.kr/handle/20.500.11750/59052 https://scholar.dgist.ac.kr/handle/20.500.11750/58724 Title: ARTIFICIAL INTELLIGENCE INFERENCE AND TRAINING SYSTEM AND METHOD USING SSD OFFLOADING Author(s): 이성진; 김정우; 오성균 Abstract: An artificial intelligence inference and training system using SSD offloading, according to one embodiment of the present invention, comprises: storage servers for storing data and comprising a plurality of SSDs which each comprise a first computing device; a transfer learning server connected to the storage servers via a network and generating an artificial intelligence model which is updated through periodic training; an inference server for extracting metadata for the data by using the artificial intelligence model received from the transfer learning server; and a database for storing the extracted metadata, wherein the transfer learning server comprises a second computing device, and a first part of the training is carried out through the first computing devices, and a second part, including the remaining training parts other than the first part of the training, is carried out through the second computing device. https://scholar.dgist.ac.kr/handle/20.500.11750/58724 https://scholar.dgist.ac.kr/handle/20.500.11750/58719 Title: SYSTEM AND METHOD FOR SHARDING-BASED KEY-VALUE CACHING Author(s): 구진형; 배진욱; 이성진 Abstract: The present invention provides a system for sharding-based key-value caching, the system comprising: a key-value storage including a plurality of SSDs; a key-value director for processing a caching request of key-value pairs of the key-value storage, the caching request received from a client; and a key-value shard for receiving and indexing the caching request having been received by the key-value director, and processing inputs and outputs of the key-value pairs from the key-value storage, wherein a plurality of the key-value shards are provided, and each of the plurality of the key-value shards manages at least one of the plurality of SSDs. https://scholar.dgist.ac.kr/handle/20.500.11750/58719 https://scholar.dgist.ac.kr/handle/20.500.11750/57177 Title: 빔포밍 스케줄링 장치 및 방법 Author(s): 이성진; 김민수; 이제민 Abstract: 복수의 유저 단말들과 통신하는 통신 장치에서의 빔포밍을 스케줄링하는 장치 및 방법이 개시된다. 빔포밍 스케줄링 방법은 복수의 유저 단말들 각각에 저장되어 있는 보유 정보의 나이(AoI) 및 복수의 유저 단말들 각각과 통신 장치 간의 채널 정보(CSI)를 복수의 유저 단말들로부터 수신하는 단계와, 복수의 유저 단말들 각각에서의 보유 정보의 나이 및 보유 정보에 대한 나이 임계치에 기초하여, 설정된 통신 주기 동안 통신 장치와 통신할 유저 단말을 복수의 유저 단말들 중에서 선택하는 단계와, 선택된 유저 단말과 통신 장치 간의 채널 정보에 기초하여 선택된 유저 단말 각각에 대한 빔포밍 벡터를 도출하고, 빔포밍 벡터를 이용하여 선택된 유저 단말과 상기 통신 장치 간의 통신을 통해 선택된 유저 단말에서의 보유 정보를 업데이트하여 보유 정보의 나이를 조정하는 단계를 포함할 수 있다. https://scholar.dgist.ac.kr/handle/20.500.11750/57177