Research | SNU Systems Software & Architecture Laboratory

Solid State Drives (SSDs)

Flash Translation Layers (FTLs)

The management firmware inside of the SSD is usually called the Flash Translation Layer (FTL). The FTL plays an important role in determining the performance and reliability of the SSD. We are working on following research projects related to FTLs.


The goal of vStream is to provide a large number of virtual streams to application developers that are independent of the physical streams available in the recent Multi-streamed SSDs.

The OpenSSD Project

We are actively participating in the OpenSSD Project, which is an initiative to promote research and education on the recent SSD technology by providing easy access to OpenSSD platforms. We are also interested in building ecosystem around the OpenChannel SSD, based on the latest Cosmos+ OpenSSD platform.

Faster, Smarter SSD Storage Systems


NVMeDirect is a novel user-space I/O framework which improves the performance by allowing the user applications to access the storage device directly. The performance of MongoDB is improved by 10.8% by running it on the recent NVMeDirect 2.0 framework without any code change.

Active SSDs

The storage device has remained dumb for the past several decades. Now it’s time to make it smarter. We are conducting several researches toward intelligent SSD-based storage systems.

Distributed Storage Systems

Lightweight Key-Value Store

ForestDB is a key-value storage engine we have developed in collaboration with Couchbase Inc. ForestDB uses a new hybrid indexing scheme called HB+Trie which allows for efficient indexing and retrieval of arbitrary length string keys. We are currently working on a version of ForestDB called ForestDB-raw that works on the raw block device. We plan to use ForestDB-raw in implementing a user-level file system for NVMeDirect and a storage engine for Ceph distributed storage system.

Ceph Distributed Storage System

Ceph is a scalable, reliable and high-performance storage solution that is widely used in the cloud computing environment. Our goal is to develop a new storage engine that can get the most out of SSD’s performance. In addition, we are optimizing the Ceph file system for HPC (High-Performance Computing) environment.

Current Projects

  • Distributed File System for High-Performance Computing Systems, National Research Foundation of Korea (NRF), November 2016 - February 2021. (Co-PI)

  • A Smart Distributed Key-Value System for Machine Learning Applications, National Research Foundation of Korea (NRF), September 2019 - August 2022. (PI)

  • Storage System and Application Framework Optimization for Next-generation Computing Environment, Samsung Electronics Co., August 2019 - July 2022. (Co-PI)