Enabling Low Tail Latency on Multicore Key-Value Stores
Summary: RStore is a multicore KVS whose primary goal is low tail latency rather than throughput, achieved via asynchronous programming, message-passing, and log-structured storage on modern hardware. It scales with cores while keeping low, predictable latency, contrasting traditional KVS designs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lucas Lersch (SAP; Technical University of Dresden)
- 2. Ivan Schreter (SAP)
- 3. Ismail Oukid (Snowflake)
- 4. Wolfgang Lehner (Technical University of Dresden)
BibTeX Citation
@article{lersch_vldb20,
title = {{Enabling Low Tail Latency on Multicore Key-Value Stores}},
author = {Lersch, Lucas and Schreter, Ivan and Oukid, Ismail and Lehner, Wolfgang},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {7},
pages = {1091--1104},
doi = {10.14778/3384345.3384356},
url = {https://doi.org/10.14778/3384345.3384356},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,510 | Viper: An Efficient Hybrid PMem-DRAM Key-Value Store | 2021 | VLDB | 8.3698208e-05 |
| 2,636 | Are Updatable Learned Indexes Ready? | 2022 | VLDB | 8.1941043e-05 |
| 9,324 | PerMA-Bench: Benchmarking Persistent Memory Access | 2022 | VLDB | 5.1941411e-05 |
| 9,869 | Bonspiel: Low Tail Latency Transactions in Geo-Distributed Databases | 2025 | VLDB | 5.1176637e-05 |
| 10,029 | LavaStore: ByteDance's Purpose-built, High-performance, Cost-effective Local Storage Engine for Cloud Services | 2024 | VLDB | 5.0925155e-05 |
| 10,267 | Darwin: Scale-In Stream Processing | 2022 | CIDR | 5.0492285e-05 |
| 10,678 | Reducing Tail Latency in Storage-Disaggregated Database Systems | 2026 | SIGMOD | 4.9793485e-05 |
| 10,946 | Why We Created Yet Another Memory Framework: Understanding MGA’s Role in Next-Gen Database Systems | 2026 | VLDB | 4.9793485e-05 |
| 11,579 | Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing | 2024 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 7 | 10,228 | From FASTER to F2: Evolving Concurrent Key-Value Store Designs for Large Skewed Workloads | 2025 | VLDB |
| 8 | 4,048 | Fast Scans on Key-Value Stores | 2017 | VLDB |
| 9 | 7,974 | Concurrent Log-Structured Memory for Many-Core Key-Value Stores | 2018 | VLDB |
| 10 | 10,543 | Analysis and Evaluation of Using Microsecond-Latency Memory for In-Memory Indices and Caches in SSD-Based Key-Value Stores | 2026 | SIGMOD |