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Rearchitecting In-Memory Object Stores for Low Latency

Summary: Lightning rearchitects in-memory object stores around shared-memory direct access, eliminating IPC for single-user, multi-process AI workloads while preserving isolation via MPK, transaction logging, and formal verification. Delivers up to 9× NOSQL speedups and 40% higher RL throughput. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13118
Venue
VLDB
Year
2022
Pagerank
5.093636e-05
Overall Rank
11,616 | 20.31%
DOI
10.14778/3494124.3494138

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BibTeX Citation

@article{zhuo_vldb22,
        title = {{Rearchitecting In-Memory Object Stores for Low Latency}},
        author = {Zhuo, Danyang and Zhang, Kaiyuan and Li, Zhuohan and Zhuang, Siyuan and Wang, Stephanie and Chen, Ang and Stoica, Ion},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {3},
        pages = {555--568},
        doi = {10.14778/3494124.3494138},
        url = {https://doi.org/10.14778/3494124.3494138},
        year = {2022}
}

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