100 Gbit/s End-to-End Communication: Designing Scalable Protocols with Soft Real-Time Stream Processing

With the recent roll-out of 100 Gbit Ethernet technology for high-performance computing applications and the technology for 100 Gbit wireless communication emerging on the horizon, it is just a matter of time until non-high performance computing applications will have to utilize these data rates. Since 10 Gbit/s protocol processing is already challenging for current server machines and simply upscaling the computing resources is no solution, new approaches are needed. In this paper, we present a stream processing based design approach for scalable communication protocols. The stream processing paradigm enables us to adapt the communication protocol processing for a certain hardware configuration without touching the protocol's implementation. We use this design technique to develop a prototype communication protocol for ultra-high throughput applications and we demonstrate how to adapt the protocol processing for a Stable Throughput as well as for a Low Latency scenario. Last but not least, we present the evaluation results of the experiments, which show that the measured throughput respectively latency of the adapted protocol, scales nearly linear with the number of provided interfaces.