DFI: The Data Flow Interface for High-Speed Networks
Lasse Thostrup, Jan Skrzypczak, Matthias Jasny, Tobias Ziegler, Carsten Binnig
Abstract
In this paper, we propose the Data Flow Interface (DFI) as a way to make it easier for data processing systems to exploit high-speed networks without the need to deal with the complexity of RDMA. By lifting the level of abstraction, DFI factors out much of the complexity of network communication and makes it easier for developers to declaratively express how data should be efficiently routed to accomplish a given distributed data processing task. As we show in our experiments, DFI is able to support a wide variety of data-centric applications with high performance at a low complexity for the applications.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 4a736d2a-344a-41ce-b947-c91c56d17f31Cited by top-tier papers4
- Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated MemoryQing Wang, Youyou Lu, Jiwu ShuSIGMOD 2022 · 99 citations
- ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMATobias Ziegler, Carsten Binnig, Viktor LeisSIGMOD 2022 · 51 citations
- Rethinking Stateful Stream Processing with RDMABonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker MarklSIGMOD 2022 · 13 citations
- PD3: Prefetching Data with DPUs for Disaggregated MemorySidharth Sankhe, Felix Zhang, Umayrah Chonee, Sherman Lim et al.NSDI 2026 · 1 citation
Builds on2
- Low-Latency Communication for Fast DBMS Using RDMA and Shared MemoryPhilipp Fent, Alexander van Renen, Andreas Kipf, Viktor Leis et al.ICDE 2020 · 44 citations
- Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern NetworksErfan Zamanian, Julian Shun, Carsten Binnig, Tim KraskaSIGMOD 2020 · 29 citations
Related papers
- Maximizing the Benefit of RDMA at End HostsXiaoliang Wang, Hexiang Song, Cam-Tu Nguyen, Dongxu Cheng et al.INFOCOM 2021 · 8 citations
- Towards Lightweight Traffic Forecasting in RDMA Networks: Design and ApplicationCheng Yang, Xiaoning Zhang, Bodong Yan, Sun Xu et al.INFOCOM 2025 · 1 citation
- NetCL: A Unified Programming Framework for In-Network ComputingGeorge Karlos, Henri E. Bal, Lin WangSC 2024 · 3 citations
- Network Load Balancing with In-network Reordering Support for RDMACha Hwan Song, Xin Zhe Khooi, Raj Joshi, Inho Choi et al.SIGCOMM 2023 · 110 citations
- Birds of a Feather Flock Together: Scaling RDMA RPCs with FlockSumit Kumar Monga, Sanidhya Kashyap, Changwoo MinSOSP 2021 · 34 citations
