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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
- 6845
- Venue
- SIGMOD
- Year
- 2024
- Pagerank
- 4.4762914e-05
- Overall Rank
- 8,649 | 39.84%
- 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 |
| 418 |
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age |
2014 |
SIGMOD |
0.00023729211 |
| 930 |
Fast Sort on CPUs and GPUs: A Case for Bandwidth Oblivious SIMD Sort |
2010 |
SIGMOD |
0.00015238545 |
| 1,206 |
Rack-Scale In-Memory Join Processing using RDMA |
2015 |
SIGMOD |
0.00013281657 |
| 1,361 |
The End of Slow Networks: It's Time for a Redesign |
2016 |
VLDB |
0.00012379741 |
| 1,497 |
Accelerating Relational Databases by Leveraging Remote Memory and RDMA |
2016 |
SIGMOD |
0.00011685781 |
| 1,819 |
The End of a Myth: Distributed Transactions Can Scale |
2017 |
VLDB |
0.00010429773 |
| 1,852 |
Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks |
2019 |
SIGMOD |
0.00010322492 |
| 2,040 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.7057698e-05 |
| 3,291 |
Database Replication: a Tale of Research across Communities |
2010 |
VLDB |
7.266902e-05 |
| 3,327 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2205738e-05 |
| 4,483 |
DFI: The Data Flow Interface for High-Speed Networks |
2021 |
SIGMOD |
6.148188e-05 |
| 4,544 |
ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA |
2022 |
SIGMOD |
6.1000636e-05 |
| 6,223 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
5.1496398e-05 |
| 6,317 |
Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks |
2020 |
SIGMOD |
5.1140356e-05 |
| 6,964 |
A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores |
2019 |
VLDB |
4.8815971e-05 |
| 7,688 |
Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads |
2022 |
VLDB |
4.6772837e-05 |
| 8,071 |
P4DB - The Case for In-Network OLTP |
2022 |
SIGMOD |
4.5932891e-05 |
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| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 1,409 |
High-Speed Query Processing over High-Speed Networks |
2016 |
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0.00012132768 |
| 7,810 |
Databases on Modern Networks: A Decade of Research That Now Comes into Practice |
2023 |
VLDB |
4.6447306e-05 |
| 13,246 |
Scalable Distributed Transaction Processing on Modern RDMA-enabled Networks |
2021 |
SIGMOD |
- |
| 3,936 |
Rethinking Database High Availability with RDMA Networks |
2019 |
VLDB |
6.6162264e-05 |
| 6,223 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
5.1496398e-05 |
| 1,206 |
Rack-Scale In-Memory Join Processing using RDMA |
2015 |
SIGMOD |
0.00013281657 |
| 5,042 |
Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA |
2023 |
SIGMOD |
5.7414429e-05 |
| 5,490 |
The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation |
2023 |
VLDB |
5.4778129e-05 |
| 9,527 |
D-RDMA: Bringing Zero-Copy RDMA to Database Systems |
2022 |
CIDR |
4.3300608e-05 |
| 1,497 |
Accelerating Relational Databases by Leveraging Remote Memory and RDMA |
2016 |
SIGMOD |
0.00011685781 |