activity
20232026
most citedAn Analytical Model-based Capacity Planning Approach for Building CSD-based Storage Systems

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DB2026

DiaLSM: Towards Write-Stall-Free Performance via Shard-based LSM-tree

Hongsu Byun, Safdar Jamil, Honghyeon Yoo +5

Log-Structured Merge-tree (LSM) aims to achieve high write throughput, but is known to experience the write stall problems when subjected to sustained write pressure. We quantify t…

cs.DC2026

DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference

Bodon Jeong, Hongsu Byun, Youngjae Kim +4

The increasing deployment of Large Language Model (LLM) inference on edge AI systems demands efficient execution under tight memory budgets. A key challenge arises from Key-Value (…

cs.DB2026

RESYSTANCE: Unleashing Hidden Performance of Compaction in LSM-trees via eBPF

Hongsu Byun, Seungjae Lee, Honghyeon Yoo +2

The development of high-speed storage devices such as NVMe SSDs has shifted the primary I/O bottleneck from hardware to software. Modern database systems also rely on kernel-based…

cs.AR2024

A Host-SSD Collaborative Write Accelerator for LSM-Tree-Based Key-Value Stores

KiHwan Kim, Hyunsun Chung, Seonghoon Ahn +6

Log-Structured Merge (LSM) tree-based Key-Value Stores (KVSs) are widely adopted for their high performance in write-intensive environments, but they often face performance degrada…

cs.DC2023★ 1 cited

An Analytical Model-based Capacity Planning Approach for Building CSD-based Storage Systems

Hongsu Byun, Safdar Jamil, Jungwook Han +5

The data movement in large-scale computing facilities (from compute nodes to data nodes) is categorized as one of the major contributors to high cost and energy utilization. To tac…