Johannes Krude
Klaus Wehrle
Mira Mezini
ABSTRACT
With the move of Software-defined networking from fixed to programmable data planes, network functions are written with P4 or eBPF for targets such as programmable switches, CPU based flow processors [5] and commodity CPUs [7]. These data plane programs are, however, limited in per-packet time budget [3] (e.g., 67.2 ns at 10GbE) and program size, making program optimization imperative [6]. Existing approaches focus on optimizing the distribution of flow rules in fixed data planes [4] or they are limited to a single switch [2]. We see great potential in integrating the network topology into program optimization.
Supplemental Material
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- A Abhashkumar et al. P5: Policy-driven optimization of P4 pipeline (SOSR'17).Google Scholar
- O Hohlfeld et al. Demystifying the Performance of XDP BPF (NetSoft 2019).Google Scholar
- N Kang et al. Optimizing the "One Big Switch" Abstraction in SDN (CoNEXT'13). Google ScholarDigital Library
- M Liu et al. IncBricks: Toward In-Network Computation with an In-Network Cache (ASPLOS'17). Google ScholarDigital Library
- F Rath et al. SymPerf: Predicting Network Function Performance (SIGCOMM Posters and Demos '17). Google ScholarDigital Library
- M Xhonneux et al. Leveraging eBPF for programmable network functions with IPv6 Segment Routing (CoNEXT'18). Google ScholarDigital Library
Index Terms
- Optimizing Data Plane Programs for the Network
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