Enabling In-situ Programmability in Network Data Plane: From Architecture to Language
Yong Feng, Zhikang Chen, Haoyu Song, Wenquan Xu, Jiahao Li, Zijian Zhang, Tong Yun, Ying Wan, Bin Liu
摘要
In-situ programmability refers to the capability for network devices to update data plane functions and protocol processing logic at runtime without interrupting the services, driven by dynamic and interactive network operations towards autonomous networks. The existing programmable switch architecture (e.g., PISA) and programming language (e.g., P4) were designed for monolithic and static implementation, which requires a complete programming and deployment cycle for functional update, incurring long delay and service interruption. Addressing the fundamental reasons for such inflexibility, we design a new In-situ Programmable Switch Architecture (IPSA) and the corresponding design flow using rP4, a P4 language extension, as a fix. The compiler contains algorithms to support efficient resource mapping for both base design and incremental updates. To manifest the in-situ programming feasibility, we demonstrate several practical use cases on both a software switch, ipbm, and an FPGA-based prototype. Our experiments and analysis show that IPSA incurs moderate hardware cost which can be justified by its benefits and compensated by newer chip technologies. The in-situ programmability enabled by IPSA and rP4 advances the state of the art of programmable networks and opens a promising new design space.
- This paper extends our workshop paper [31] with updates including the introduction of virtual pipeline, detailed resource mapping algorithms, nondisruptive deployment procedure, and more evaluation results.
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引用它的顶会 Paper10
- Using trio: juniper networks' programmable chipset - for emerging in-network applicationsMingran Yang, Alex Baban, Valery Kugel, Jeff Libby 等SIGCOMM 2022 · 被引用 57 次
- LuoShen: A Hyper-Converged Programmable Gateway for Multi-Tenant Multi-Service Edge CloudsTian Pan, Kun Liu, Xionglie Wei, Yisong Qiao 等NSDI 2024 · 被引用 27 次
- Multitenant In-Network Acceleration with SwitchVMSajy Khashab, Alon Rashelbach, Mark SilbersteinNSDI 2024 · 被引用 21 次
- FENIX: Enabling In-Network DNN Inference with FPGA-Enhanced Programmable SwitchesXiangyu Gao, Tong Li, Yinchao Zhang, Ziqiang Wang 等NSDI 2026 · 被引用 12 次
- P4runpro: Enabling Runtime Programmability for RMT Programmable SwitchesYifan Yang, Lin He, Jiasheng Zhou, Xiaoyi Shi 等SIGCOMM 2024 · 被引用 12 次
它引用的顶会 Paper3
- ATP: In-network Aggregation for Multi-tenant LearningChonLam Lao, Yanfang Le, Kshiteej Mahajan, Yixi Chen 等NSDI 2021 · 被引用 359 次
- PANIC: A High-Performance Programmable NIC for Multi-tenant NetworksJiaxin Lin, Kiran Patel, Brent E. Stephens, Anirudh Sivaraman 等OSDI 2020 · 被引用 104 次
- Mantis: Reactive Programmable SwitchesLiangcheng Yu, John Sonchack, Vincent LiuSIGCOMM 2020 · 被引用 37 次
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