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Asynchronous Compaction Acceleration Scheme for Near-data Processing-enabled LSM-tree-based KV Stores

https://doi.org/10.1145/3626097
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s002360050048openalex-snapshot
The log-structured merge-tree (LSM-tree)
inferredcites →https://doi.org/10.1007/s11704-013-3900-xopenalex-snapshot
Computing infrastructure for big data processing
inferredcites →https://doi.org/10.1016/j.jpdc.2019.04.011openalex-snapshot
Collaborative Compaction Optimization System using Near-Data Processing for LSM-tree-based Key-Value Stores
inferredcites →https://doi.org/10.1109/2.375174openalex-snapshot
Processing in memory: the Terasys massively parallel PIM array
inferredcites →https://doi.org/10.1109/access.2018.2873579openalex-snapshot
DStore: A Holistic Key-Value Store Exploring Near-Data Processing and On-Demand Scheduling for Compaction Optimization
inferredcites →https://doi.org/10.1109/hpca.2017.15openalex-snapshot
KAML: A Flexible, High-Performance Key-Value SSD
inferredcites →https://doi.org/10.1109/icdcs.2017.70openalex-snapshot
LSbM-tree: Re-Enabling Buffer Caching in Data Management for Mixed Reads and Writes
inferredcites →https://doi.org/10.1109/icde.2015.7113416openalex-snapshot
The solid-state drive technology, today and tomorrow
inferredcites →https://doi.org/10.1109/icde48307.2020.00113openalex-snapshot
FPGA-based Compaction Engine for Accelerating LSM-tree Key-Value Stores
inferredcites →https://doi.org/10.1109/ipdps.2014.85openalex-snapshot
Pipelined Compaction for the LSM-Tree
inferredcites →https://doi.org/10.1109/ispass.2012.6189209openalex-snapshot
Characterizing and evaluating a key-value store application on heterogeneous CPU-GPU systems
inferredcites →https://doi.org/10.1109/mm.2014.55openalex-snapshot
Near-Data Processing: Insights from a MICRO-46 Workshop
inferredcites →https://doi.org/10.1109/msst.2013.6558444openalex-snapshot
Enabling cost-effective data processing with smart SSD
inferredcites →https://doi.org/10.1109/msst.2015.7208288openalex-snapshot
Atlas: Baidu's key-value storage system for cloud data
inferredcites →https://doi.org/10.1109/tc.2016.2595566openalex-snapshot
In-Storage Computing for Hadoop MapReduce Framework: Challenges and Possibilities
inferredcites →https://doi.org/10.1109/tc.2016.2608818openalex-snapshot
SSD In-Storage Computing for Search Engines
inferredcites →https://doi.org/10.1145/1365815.1365816openalex-snapshot
Bigtable
inferredcites →https://doi.org/10.1145/2213836.2213862openalex-snapshot
bLSM
inferredcites →https://doi.org/10.1145/2451116.2451169openalex-snapshot
GPUfs
inferredcites →https://doi.org/10.1145/2463676.2465295openalex-snapshot
Query processing on smart SSDs
inferredcites →https://doi.org/10.1145/2464996.2465003openalex-snapshot
Active disk meets flash
inferredcites →https://doi.org/10.1145/2592798.2592804openalex-snapshot
An efficient design and implementation of LSM-tree based key-value store on open-channel SSD
inferredcites →https://doi.org/10.1145/2741948.2741973openalex-snapshot
Scaling concurrent log-structured data stores
inferredcites →https://doi.org/10.1145/290593.290602openalex-snapshot
A case for intelligent disks (IDISKs)
inferredcites →https://doi.org/10.1145/2933349.2933353openalex-snapshot
SSD in-storage computing for list intersection
inferredcites →https://doi.org/10.1145/3007787.3001154openalex-snapshot
Biscuit
inferredcites →https://doi.org/10.1145/3299869.3314041openalex-snapshot
X-Engine
inferredcites →https://doi.org/10.1145/3337821.3337855openalex-snapshot
Near-Data Processing-Enabled and Time-Aware Compaction Optimization for LSM-tree-based Key-Value Stores
inferredcites →https://doi.org/10.14778/1920841.1920990openalex-snapshot
Tree indexing on solid state drives
inferredcites →https://doi.org/10.14778/3415478.3415524openalex-snapshot
nKV in action
inferredcites →https://doi.org/10.5555/2591272.2591275openalex-snapshot
Building workload-independent storage with VT-trees

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.sysarc.2025.103342openalex-snapshot
ProckStore: An NDP-empowered key-value store with asynchronous and multi-threaded compaction scheme for optimized performance
inferred← citeshttps://doi.org/10.1016/j.sysarc.2025.103549openalex-snapshot
A+Store: An Asynchronous Parallel Compaction for Multi-NDP-Enabled Key–Value Store
inferred← citeshttps://doi.org/10.1016/j.sysarc.2026.103924openalex-snapshot
Mosaic: Breaking the single-path bottleneck in KV store scalability via foreground–background decoupled multi-path dataflows
inferred← citeshttps://doi.org/10.1109/cloud62652.2024.00054openalex-snapshot
Coordinating Compaction Between LSM-Tree Based Key-Value Stores for Edge Federation
inferred← citeshttps://doi.org/10.1109/icde65706.2026.00016openalex-snapshot
CSD-CoKV: Host-CSD Collaborative Offloading for High-Performance LSM-Tree Based KV Stores
inferred← citeshttps://doi.org/10.1109/icde65706.2026.00306openalex-snapshot
The Evolution of LSM-Tree Key-Value Stores: A Tutorial on State-Of-The-Art and Future Directions
inferred← citeshttps://doi.org/10.1109/tc.2025.3535832openalex-snapshot
RGKV: A GPGPU-Empowered Compaction Framework for LSM-Tree-Based KV Stores With Optimized Data Transfer and Parallel Processing
inferred← citeshttps://doi.org/10.1109/tkde.2026.3699948openalex-snapshot
Reducing I/O Amplification for Key-Value Stores With a Log-Assisted Log-Structured Merge Tree
inferred← citeshttps://doi.org/10.1109/tpds.2025.3586616openalex-snapshot
GPComp: Using GPU and SSD-GPU Peer to Peer DMA to Accelerate LSM-Tree Compaction for Key-Value Store
inferred← citeshttps://doi.org/10.1145/3712285.3759896openalex-snapshot
gParaKV: A GPGPU-accelerated Key-Value Separation-based KV Store with Optimized Compaction and Garbage Collection
inferred← citeshttps://doi.org/10.1145/3754598.3754675openalex-snapshot
Revisiting Multi-threaded Compaction in LSM-trees: Enabling Compaction Pipelining
inferred← citeshttps://doi.org/10.1145/3799980openalex-snapshot
GDH+: A GPGPU-Empowered Gradient Data Hierarchy and Key-Value Separation for Optimizing LSM-Tree-Based KV Stores
inferred← citeshttps://doi.org/10.1504/ijris.2025.146672openalex-snapshot
Optimisation of distributed storage technology for large-scale data based on Hadoop technology
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