Data plane programmability brings network flexibility to a new level. However, it introduces the complexity of the data path’s program as a new factor that influences packet forwarding latency and thus devices’ performance. Accurate identification of the relation between data path complexity and packet forwarding latency enables the design and management of networks with predictable performance. In this paper, we leverage the characteristics of P4 programming language to provide a method for estimating the packet forwarding latency as a function of the data path program. We analyze the impact of different P4 constructs on packet processing latency for three state-of-the-art P4 devices: Netronome SmartNIC, NetFPGA-SUME, and T4P4S DPDK-based software switch. Besides comparing the performance of these three targets, we use the derived results to propose a method for estimating the average packet latency, at compilation time, of arbitrary P4-based network functions implemented using the surveyed P4 constructs. The proposed method is finally validated using a set of realistic network functions, which shows that our method estimates the average packet latency with sub-microsecond precision.      «

Data plane programmability brings network flexibility to a new level. However, it introduces the complexity of the data path’s program as a new factor that influences packet forwarding latency and thus devices’ performance. Accurate identification of the relation between data path complexity and packet forwarding latency enables the design and management of networks with predictable performance. In this paper, we leverage the characteristics of P4 programming language to provide a method for...     »