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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
5.2822161e-05
Overall Rank
8,760 | 41.13%
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 0.00024589307
663 Fast Sort on CPUs and GPUs: A Case for Bandwidth Oblivious SIMD Sort 2010 SIGMOD 0.00014997516
890 Rack-Scale In-Memory Join Processing using RDMA 2015 SIGMOD 0.00013241413
945 The End of Slow Networks: It's Time for a Redesign 2016 VLDB 0.00012933247
1,060 Accelerating Relational Databases by Leveraging Remote Memory and RDMA 2016 SIGMOD 0.00012219425
1,269 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.00011254742
1,339 The End of a Myth: Distributed Transactions Can Scale 2017 VLDB 0.0001097043
1,366 Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks 2019 SIGMOD 0.00010908555
2,287 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.691301e-05
3,073 Database Replication: a Tale of Research across Communities 2010 VLDB 7.6774646e-05
3,609 DFI: The Data Flow Interface for High-Speed Networks 2021 SIGMOD 7.1617145e-05
3,827 ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA 2022 SIGMOD 6.9972263e-05
5,320 Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks 2020 SIGMOD 6.1813707e-05
5,376 Distributed GPU Joins on Fast RDMA-capable Networks 2023 SIGMOD 6.1555648e-05
6,026 Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads 2022 VLDB 5.9091528e-05
6,662 A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores 2019 VLDB 5.7155423e-05
8,163 P4DB - The Case for In-Network OLTP 2022 SIGMOD 5.3854685e-05
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