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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
- 6846
- Venue
- SIGMOD
- Year
- 2024
- Pagerank
- 4.4720005e-05
- Overall Rank
- 8,647 | 39.91%
- DOI
-
10.1145/3639291
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
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 |
| 417 |
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age |
2014 |
SIGMOD |
0.00023734582 |
| 932 |
Fast Sort on CPUs and GPUs: A Case for Bandwidth Oblivious SIMD Sort |
2010 |
SIGMOD |
0.00015227954 |
| 1,196 |
Rack-Scale In-Memory Join Processing using RDMA |
2015 |
SIGMOD |
0.00013378379 |
| 1,351 |
The End of Slow Networks: It's Time for a Redesign |
2016 |
VLDB |
0.00012439556 |
| 1,474 |
Accelerating Relational Databases by Leveraging Remote Memory and RDMA |
2016 |
SIGMOD |
0.00011781099 |
| 1,813 |
The End of a Myth: Distributed Transactions Can Scale |
2017 |
VLDB |
0.00010452333 |
| 1,834 |
Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks |
2019 |
SIGMOD |
0.00010364718 |
| 2,044 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.6963999e-05 |
| 3,218 |
Database Replication: a Tale of Research across Communities |
2010 |
VLDB |
7.366179e-05 |
| 3,328 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2136181e-05 |
| 4,449 |
DFI: The Data Flow Interface for High-Speed Networks |
2021 |
SIGMOD |
6.1740574e-05 |
| 4,523 |
ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA |
2022 |
SIGMOD |
6.1102901e-05 |
| 6,220 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
5.1446966e-05 |
| 6,297 |
Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks |
2020 |
SIGMOD |
5.1192861e-05 |
| 6,963 |
A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores |
2019 |
VLDB |
4.8769125e-05 |
| 7,689 |
Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads |
2022 |
VLDB |
4.6727982e-05 |
| 8,075 |
P4DB - The Case for In-Network OLTP |
2022 |
SIGMOD |
4.5888845e-05 |
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| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 1,397 |
High-Speed Query Processing over High-Speed Networks |
2016 |
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0.00012208385 |
| 7,816 |
Databases on Modern Networks: A Decade of Research That Now Comes into Practice |
2023 |
VLDB |
4.6402756e-05 |
| 13,259 |
Scalable Distributed Transaction Processing on Modern RDMA-enabled Networks |
2021 |
SIGMOD |
- |
| 3,925 |
Rethinking Database High Availability with RDMA Networks |
2019 |
VLDB |
6.621264e-05 |
| 6,220 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
5.1446966e-05 |
| 1,196 |
Rack-Scale In-Memory Join Processing using RDMA |
2015 |
SIGMOD |
0.00013378379 |
| 5,015 |
Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA |
2023 |
SIGMOD |
5.7517038e-05 |
| 5,498 |
The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation |
2023 |
VLDB |
5.4738497e-05 |
| 9,528 |
D-RDMA: Bringing Zero-Copy RDMA to Database Systems |
2022 |
CIDR |
4.3259125e-05 |
| 1,474 |
Accelerating Relational Databases by Leveraging Remote Memory and RDMA |
2016 |
SIGMOD |
0.00011781099 |