Cora: Accelerating Stateful Network Applications with SmartNICs

TL;DR

Cora is a compiler and runtime system that offloads stateful network applications to SmartNICs, significantly reducing CPU usage and accelerating network functions by intelligently partitioning workloads based on traffic dynamics.

Contribution

Cora introduces an accurate performance model and adaptive compiler algorithm for offloading stateful applications to SmartNICs, improving efficiency and resource utilization.

Findings

Cora reduces CPU core usage by up to 94%.

Cora accelerates network functions by 44.9%-82.3%.

Cora adapts to traffic changes to maintain low CPU usage.

Abstract

With the growing performance requirements on networked applications, there is a new trend of offloading stateful network applications to SmartNICs to improve performance and reduce the total cost of ownership. However, offloading stateful network applications is non-trivial due to state operation complexity, state resource consumption, and the complicated relationship between traffic and state. Naively partitioning the program by state or traffic can result in a suboptimal partition plan with higher CPU usage or even packet drops. In this paper, we propose Cora, a compiler and runtime that offloads stateful network applications to SmartNIC-accelerated hosts. Cora compiler introduces an accurate performance model for each SmartNIC and employs an efficient compiling algorithm to search the offloading plan. Cora runtime can monitor traffic dynamics and adapt to minimize CPU usage. Cora is built atop Netronome Agilio and BlueField 2 SmartNICs. Our evaluation shows that for the same throughput target, Cora can propose partition plans saving up to 94.0% CPU cores, 1.9 times more than baseline solutions. Under the same resource constraint, Cora can accelerate network functions by 44.9%-82.3%. Cora runtime can adapt to traffic changes and keep CPU usage low.