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Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs

Summary: Zero-sided RDMA enables network-native data shuffling via programmable switches, with neither sender nor receiver actively involved. For disaggregated, heterogeneous cloud DBMSs, it avoids full RDMA stacks and CPU coordination, and outperforms one-sided RDMA for accelerator-to-accelerator transfers and joins. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h4cc4822331bbf072
Venue
SIGMOD
Year
2024
Pagerank
5.2647498e-05
Overall Rank
8,781 | 41.14%
DOI
10.1145/3639291

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{jasny_sigmod24,
        title = {{Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs}},
        author = {Jasny, Matthias and Thostrup, Lasse and Tamimi, Sajjad and Koch, Andreas and Istve1n, Zsolt and Binnig, Carsten},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3639291},
        url = {https://dl.acm.org/doi/10.1145/3639291},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
215 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00024554257
662 Fast Sort on CPUs and GPUs: A Case for Bandwidth Oblivious SIMD Sort 2010 SIGMOD 0.00014972958
885 Rack-Scale In-Memory Join Processing using RDMA 2015 SIGMOD 0.00013222753
928 The End of Slow Networks: It's Time for a Redesign 2016 VLDB 0.00013012601
1,048 Accelerating Relational Databases by Leveraging Remote Memory and RDMA 2016 SIGMOD 0.00012302514
1,228 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.00011425748
1,349 The End of a Myth: Distributed Transactions Can Scale 2017 VLDB 0.00010940559
1,370 Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks 2019 SIGMOD 0.00010875068
2,294 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.67775e-05
3,077 Database Replication: a Tale of Research across Communities 2010 VLDB 7.6584138e-05
3,616 DFI: The Data Flow Interface for High-Speed Networks 2021 SIGMOD 7.1381983e-05
3,816 ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA 2022 SIGMOD 6.9852219e-05
5,337 Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks 2020 SIGMOD 6.1613626e-05
5,373 Distributed GPU Joins on Fast RDMA-capable Networks 2023 SIGMOD 6.1405913e-05
6,031 Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads 2022 VLDB 5.8909681e-05
6,674 A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores 2019 VLDB 5.6969479e-05
8,179 P4DB - The Case for In-Network OLTP 2022 SIGMOD 5.3676622e-05
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