Area of research
Computer Networks and Communications · Hardware and Architecture
Research interest
Research interests include Computer science, Key (lock), Cache, Parallel computing, NAND gate, and Compaction.
ProckStore: An NDP-empowered key-value store with asynchronous and multi-threaded compaction scheme for optimized performance
RGKV: A GPGPU-Empowered Compaction Framework for LSM-Tree-Based KV Stores With Optimized Data Transfer and Parallel Processing
gParaKV: A GPGPU-accelerated Key-Value Separation-based KV Store with Optimized Compaction and Garbage Collection
MTree: A Tiering-based Key-Value Store Powered by High-performance Hierarchical Data Management
JMStore: Joint Optimization of Computation and Storage Balancing in Multi-NDP Key-Value Stores with Hash-Based Data Distribution
HAKV: A Hotness-Aware Zone Management Approach to Optimizing Performance of LSM-tree-based Key-Value Stores
A+Store: An Asynchronous Parallel Compaction for Multi-NDP-Enabled Key–Value Store
AGC: An Adaptive Workload Burst-Aware Garbage Collection Mechanism for High-Performance SSDs
A Machine Learning-Empowered Cache Management Scheme for High-Performance SSDs
LAC: A Workload Intensity-Aware Caching Scheme for High-Performance SSDs
iCache: An Intelligent Cache Allocation Strategy for Multitenant in High-Performance Solid-State Disks
TrieKV: A High-Performance Key-Value Store Design With Memory as Its First-Class Citizen
A Window-Driven Compaction Mechanism in LSM-tree-based Key-Value Stores through Near-Data Processing
gLSM: Using GPGPU to Accelerate Compactions in LSM-tree-based Key-value Stores
Improving LSM-Tree Based Key-Value Stores With Fine-Grained Compaction Mechanism
DAC: A dynamic active and collaborative cache management scheme for solid state disks
Asynchronous Compaction Acceleration Scheme for Near-data Processing-enabled LSM-tree-based KV Stores
Elevating Performance of LSM-Tree-Based Key-Value Stores with Gradient Data Hierarchy
Pgc: An Efficient Parallel Garbage Collection Scheme Based on Hot and Cold Data Separation
NCache: A Machine-Learning Cache Management Scheme for Computational SSDs
HIPA: A hybrid load balancing method in SSDs for improved parallelism performance
RT-FEND: Spark-Based Real Time FakE News Detection
Co-Active: A Workload-Aware Collaborative Cache Management Scheme for NVMe SSDs
CalmWPC: A buffer management to calm down write performance cliff for NAND flash-based storage systems
RB-Explorer: An Accurate and Practical Approach to Write Amplification Measurement for SSDs
Exploring optimal combination of a file system and an I/O scheduler for underlying solid state disks
Measuring and Analyzing Write Amplification Characteristics of Solid State Disks