Deterministic Computing Power Networking: Architecture, Technologies and Prospects
Qingmin Jia, Yujiao Hu, Xiaomao Zhou, Qianpiao Ma, Kai Guo, Huayu Zhang, Renchao Xie, Tao Huang, Yunjie Liu
TL;DR
The paper proposes deterministic computing power networking (Det-CPN), a framework that fuses deterministic networking with computing-power convergence to meet latency and computing requirements of time-sensitive, compute-intensive applications. It introduces a three-layer architecture (Infrastructure, Computing and Network Convergence, and Application Service) with CNDP/CNEP for state-driven control, and outlines three core capabilities: deterministic transmission, deterministic computing, and intelligent decision-making. It details key technologies across edge, wide-area, and data-center networks (TSN, DetNet, SR, lossless DCN, RDMA) and computing mechanisms (task grading, resource reservation, pre-adjustment) to achieve end-to-end determinacy. The article also discusses workflow, integration challenges, and future directions, highlighting implications for intelligent driving, Cloud VR, and intelligent manufacturing.
Abstract
With the development of new Internet services such as computation-intensive and delay-sensitive tasks, the traditional "Best Effort" network transmission mode has been greatly challenged. The network system is urgently required to provide end-to-end transmission determinacy and computing determinacy for new applications to ensure the safe and efficient operation of services. Based on the research of the convergence of computing and networking, a new network paradigm named deterministic computing power networking (Det-CPN) is proposed. In this article, we firstly introduce the research advance of computing power networking. And then the motivations and scenarios of Det-CPN are analyzed. Following that, we present the system architecture, technological capabilities, workflow as well as key technologies for Det-CPN. Finally, the challenges and future trends of Det-CPN are analyzed and discussed.