A Survey on Data Plane Programming with P4: Fundamentals, Advances, and Applied Research
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Abstract (arXiv)
Programmable data planes allow users to define their own data plane algorithms for network devices including appropriate data plane application programming interfaces (APIs) which may be leveraged by user-defined software-defined networking (SDN) control. This offers great flexibility for network customization, be it for specialized, commercial appliances, e.g., in 5G or data center networks, or for rapid prototyping in industrial and academic research. Programming protocol-independent packet processors (P4) has emerged as the currently most widespread abstraction, programming language, and concept for data plane programming. It is developed and standardized by an open community, and it is supported by various software and hardware platforms. In the first part of this paper we give a tutorial of data plane programming models, the P4 programming language, architectures, compilers, targets, and data plane APIs. We also consider research efforts to advance P4 technology. In the second part, we categorize a large body of literature of P4-based applied research into different research domains, summarize the contributions of these papers, and extract prototypes, target platforms, and source code availability. For each research domain, we analyze how the reviewed works benefit from P4's core features. Finally, we discuss potential next steps based on our findings.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Jan 2021.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1.
2 papers.
- 2022Efficient Data-Plane Memory Scheduling for In-Network Aggregationcited by 0
- 2024Prose-to-P4: Leveraging High Level Languagescited by 0
- 2024Prose-to-P4: Leveraging High Level Languages19 Jun 2024
- 2022Efficient Data-Plane Memory Scheduling for In-Network Aggregation17 Jan 2022