P4-based design of fast failure recovery for software-defined networks

Miura, Hideyoshi; Hirata, Ken–ichi; Tachibana, Takuji

doi:10.1016/j.comnet.2022.109274

Cited by 8 publications

(1 citation statement)

References 23 publications

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“…Further, Petale et al [148] proposed a new scheme, the Group Table Rerouting (GTR) technique, to find the response against single link failure through the fast fail-over (FF) group table feature provided by OpenFlow. Lastly, Miura et al [149] introduced a fast failure recovery mechanism based on multiple routing configuration algorithms using programming protocol-independent packet processors (P4).…”

Section: Resilience In Software-defined Iiot-edge Networkmentioning

confidence: 99%

Towards a Software-Defined Industrial IoT-Edge Network for Next-Generation Offshore Wind Farms: State of the Art, Resilience, and Self-X Network and Service Management

Mwangi,

Sahay,

Fumagalli

et al. 2024

Energies

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Offshore wind farms are growing in complexity and size, expanding deeper into maritime environments to capture stronger and steadier wind energy. Like other domains in the energy sector, the wind energy domain is continuing to digitalize its systems by embracing Industry 4.0 technologies such as the Industrial Internet of Things (IIoT), virtualization, and edge computing to monitor and manage its critical infrastructure remotely. Adopting these technologies creates dynamic, scalable, and cost-effective data-acquisition systems. At the heart of these data-acquisition systems is a communication network that facilitates data transfer between communicating nodes. Given the challenges of configuring, managing, and troubleshooting large-scale communication networks, this review paper explores the adoption of the state-of-the-art software-defined networking (SDN) and network function virtualization (NFV) technologies in the design of next-generation offshore wind farm IIoT–Edge communication networks. While SDN and NFV technologies present a promising solution to address the challenges of these large-scale communication networks, this paper discusses the SDN/NFV-related performance, security, reliability, and scalability concerns, highlighting current mitigation strategies. Building on these mitigation strategies, the concept of resilience (that is, the ability to recover from component failures, attacks, and service interruptions) is given special attention. The paper highlights the self-X (self-configuring, self-healing, and self-optimizing) approaches that build resilience in the software-defined IIoT–Edge communication network architectures. These resilience approaches enable the network to autonomously adjust its configuration, self-repair during stochastic failures, and optimize performance in response to changing conditions. The paper concludes that resilient software-defined IIoT–Edge communication networks will play a big role in guaranteeing seamless next-generation offshore wind farm operations by facilitating critical, latency-sensitive data transfers.

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Section: Resilience In Software-defined Iiot-edge Networkmentioning

confidence: 99%

Towards a Software-Defined Industrial IoT-Edge Network for Next-Generation Offshore Wind Farms: State of the Art, Resilience, and Self-X Network and Service Management

Mwangi,

Sahay,

Fumagalli

et al. 2024

Energies

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An Intelligent Blockchain-based Secure Link Failure Recovery Framework for Software-defined Internet-of-Things

Ali,

Shan,

Gul

et al. 2023

J Grid Computing

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Quantitative measurement of link failure reaction time for devices with P4-programmable data planes

Franco,

Higuero,

Zaballa

et al. 2023

Telecommun Syst

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Quick handling of link failures remains a challenging issue in current communication networks, although it is crucial to many routing algorithms. Link failures are the leading cause of packet losses and delays, therefore, failure recovery is tied to stringent requirements for certain services, such as the sub-50 millisecond completion time for carrier-grade networks, which is sometimes difficult to achieve in traditional routing schemes. For this reason, fast recovery strategies are key pillars of modern communication networks. In this paper, we demonstrate the benefits of the devices with Programmable Data Planes (PDP) for fast reacting to link failures. We first review the link failure detection, reaction and recovery procedures and then we discuss the main fast failure recovery mechanisms employed by different types of devices in current communication networks. In addition, we present a novel method to measure the link failure reaction time of an Intel Tofino switch with PDP, as well as the results obtained when measuring such time using real hardware equipment. Our results show that such hardware devices provide a failure reaction time in the order of microseconds, with an average of 472.88$$\upmu $$ μ s, which poses PDP as a key technology to achieve zero packet loss and zero delay failure recovery.

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P4-based design of fast failure recovery for software-defined networks

Cited by 8 publications

References 23 publications

Towards a Software-Defined Industrial IoT-Edge Network for Next-Generation Offshore Wind Farms: State of the Art, Resilience, and Self-X Network and Service Management

Towards a Software-Defined Industrial IoT-Edge Network for Next-Generation Offshore Wind Farms: State of the Art, Resilience, and Self-X Network and Service Management

An Intelligent Blockchain-based Secure Link Failure Recovery Framework for Software-defined Internet-of-Things

Quantitative measurement of link failure reaction time for devices with P4-programmable data planes

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