Rearchitecting In-Memory Object Stores for Low Latency
Summary: Lightning rearchitects in-memory object stores to a shared-memory, IPC-free design for single-user multi-process workloads, with MPK-based isolation, logging, and formal verification. It delivers up to 9x NoSQL throughput, 4.5x tree-search scaling, and 40% RL data-sharing gains. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Danyang Zhuo
- 2. Kaiyuan Zhang
- 3. Zhuohan Li
- 4. Siyuan Zhuang
- 5. Stephanie Wang
- 6. Ang Chen
- 7. Ion Stoica
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,751 | Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores | 2015 | VLDB | 8.1760621e-05 |
| 5,048 | Put an Elephant into a Fridge: Optimizing Cache Efficiency for In-memory Key-value Stores | 2020 | VLDB | 5.7378052e-05 |
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