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
- 2. Ivan Schreter
- 3. Ismail Oukid
- 4. Wolfgang Lehner
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,085 | Viper: An Efficient Hybrid PMem-DRAM Key-Value Store | 2021 | VLDB | 7.5993418e-05 |
| 4,128 | Are Updatable Learned Indexes Ready? | 2022 | VLDB | 6.4292373e-05 |
| 9,101 | PerMA-Bench: Benchmarking Persistent Memory Access | 2022 | VLDB | 4.3958463e-05 |
| 9,554 | Bonspiel: Low Tail Latency Transactions in Geo-Distributed Databases | 2025 | VLDB | 4.3254416e-05 |
| 9,926 | Darwin: Scale-In Stream Processing | 2022 | CIDR | 4.2543961e-05 |
| 10,202 | Reducing Tail Latency in Storage-Disaggregated Database Systems | 2026 | SIGMOD | 4.1945683e-05 |
| 11,036 | Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing | 2024 | VLDB | 4.1945683e-05 |
| 11,075 | LavaStore: ByteDance's Purpose-built, High-performance, Cost-effective Local Storage Engine for Cloud Services | 2024 | VLDB | 4.1945683e-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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