P4-enabled Smart NIC: Enabling Sliceable and Service-Driven Optical Data Centres

Yan, Yan; Beldachi, Arash Farhadi; Nejabati, Reza; Simeonidou, Dimitra

doi:10.1109/jlt.2020.2966517

Cited by 28 publications

(7 citation statements)

References 9 publications

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“…The work in [35] presents an use case of P4 registers to store stateful information achieving autonomous forwarding and low-latency path discovery. Finally, [36] proposes solutions for providing network slicing in different networking envi-ronments.…”

Section: Background and Related Workmentioning

confidence: 99%

Enabling P4 Network Telemetry in Edge Micro Data Centers With Kubernetes Orchestration

et al. 2023

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Integrating computation resources with networking technologies is an hot research topic targeting the optimization of containers deployment on a set of host machines interconnected by a network infrastructure. Particularly, next generation edge nodes will offer significant advantages leveraging on integrated computation resources and networking awareness, enabling configurable, granular and monitorable quality of service to different micro-services, applications and tenants, especially in terms of bounded endto-end latency. In this regard, SDN is a key technology enabling network telemetry and traffic switching with the granularity of the single traffic flow. However, currently available solutions are based on legacy SDN techniques, not enabling the matching of tunneled traffic, and thus require a tricky integration inside the hosts where containers are deployed. This work considers Kubernetes clusters deployed on next generation edge micro data center platforms and proposes an innovative SDN solution exploiting the P4 technology to gain visibility inside tunnelled traffic exchanged among pods. This way, the integration is achieved at the control plane level through the communication between Kubernetes and the SDN controller. The proposed solution is experimentally validated including a comprehensive framework enabling effective traffic switching and in-band telemetry at pod level. The major paper contributions consist in the design and the development of: (i) the networking applications at SDN control plane level; (ii) the P4 switch pipeline at the data plane level; (iii) the monitoring system used to collect, aggregate and elaborate the telemetry data.

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Section: Background and Related Workmentioning

confidence: 99%

Enabling P4 Network Telemetry in Edge Micro Data Centers With Kubernetes Orchestration

et al. 2023

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“…However, these empirical validations do not present any detailed evaluation about the queues or CPUs performance. In [30], Yan et al propose a SmartNIC-based implementation to enable network slicing for scalable cloud systems, with the objective of meeting 5G/B5G network requirements. This solution also employs P4 language to program the network data path for L2/L3/L4 classification and action.…”

Section: Hardware-based Programmabilitymentioning

confidence: 99%

XDP-Based SmartNIC Hardware Performance Acceleration for Next-Generation Networks

et al. 2022

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Next-generation networks are expected to combine advanced physical and digital technologies in super-high-speed connected system infrastructures, gaining critical operation competitiveness of improved efficiency, productivity and quality of services. Towards a fully digital and connected world, these platforms will enable infrastructure virtualization and support of edge processing, making emerging sectors, such as Industry 4.0, ready to exploit its full potentials. Nevertheless, the fast growth of data-centric and automated systems may exceed the capabilities of the overall infrastructure beyond the radio access networks, becoming unable to fulfil the demands of vertical sectors and representing a bottleneck. To minimize the negative effects that could affect critical services in a heavily loaded network, it is essential for network providers to deploy highly scalable and prioritisable in-network optimisation schemes to meet industry expectations in next-generation networks. To this end, this work presents a novel framework that leverages extended Berkeley Packet Filter (eBPF) and eXpress Data Path (XDP) to offload network functions to reduce unnecessary overhead in the backbone infrastructure. The proposed solution is envisioned to be implemented as a Network Application (NetApp) service, which will greatly benefit the compatibility with next-generation networking ecosystem empowered by Artificial Intelligence (AI), advanced automation, multi-domain network slicing, and other related technologies. The achieved results demonstrate key performance improvements in terms of packet processing capacity as high as about 18 million packets per second (Mpps), system throughput up to 6.1 Mpps with 0% of packet loss, and illustrate the flexibility of the framework to adapt to multiple network policy rules dynamically on demand.

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“…This smart grid network slicing implementation uses a P4-NetFPGA card and present an empirical validation of the solution proposed. Yan et al [8] presents a SmartNIC-based solution to enable network slicing for web-scale cloud, with the objective of meeting 5G/Beyond network requirements. This solution uses the P4 language [9] to program the network data plane for L2/L3/L4 parsing and action, achieving very high performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Empirical design, prototyping and evaluation of a new hardware-based network slicing approach for 6G backbone networks

Ricart‐Sanchez

Salvá-García

Chirivella‐Perez

et al. 2021

2021 Joint European Conference on Networks and Communications &Amp; 6G Summit (EuCNC/6G Summit)

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With 5G being currently deployed worldwide, research into 6G has been initiated to advance the key technologies of 5G to the next level. Network slicing, as a cornerstone technology in 5G, is expected to continue playing an important role in guaranteeing the Quality of Service for various vertical business use cases with divergent yet more demanding requirements in the next generation. This research explores a towards 6G scenario where ultra-high performance of backbone network slicing is entailed as part of an end-to-end solution to address ultra-reliable low-latency communications in mission-critical industrial operations for smart factory and manufacturing, smart warehouse and other Industry 4.0 and beyond applications. To address the highly demanding requirements, this paper proposes a new hardwarebased network slicing approach based on the eXpress Data Path (XDP). The proposed solution is designed, prototyped and compared with an existing hardware-based alternative through empirical experiments over a pre-6G infrastructure testbed. The insights gained from the experimentation would help cast light on hardware-accelerated approaches in 6G network slicing.

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P4-enabled Smart NIC: Enabling Sliceable and Service-Driven Optical Data Centres

Cited by 28 publications

References 9 publications

Enabling P4 Network Telemetry in Edge Micro Data Centers With Kubernetes Orchestration

Enabling P4 Network Telemetry in Edge Micro Data Centers With Kubernetes Orchestration

XDP-Based SmartNIC Hardware Performance Acceleration for Next-Generation Networks

Empirical design, prototyping and evaluation of a new hardware-based network slicing approach for 6G backbone networks

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