6 research outputs found

    Achieving Low Latency Communications in Smart Industrial Networks with Programmable Data Planes

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    Industrial networks are introducing Internet of Things (IoT) technologies in their manufacturing processes in order to enhance existing methods and obtain smarter, greener and more effective processes. Global predictions forecast a massive widespread of IoT technology in industrial sectors in the near future. However, these innovations face several challenges, such as achieving short response times in case of time-critical applications. Concepts like in-network computing or edge computing can provide adequate communication quality for these industrial environments, and data plane programming has been proved as a useful mechanism for their implementation. Specifically, P4 language is used for the definition of the behavior of programmable switches and network elements. This paper presents a solution for industrial IoT (IIoT) network communications to reduce response times using in-network computing through data plane programming and P4. Our solution processes Message Queuing Telemetry Transport (MQTT) packets sent by a sensor in the data plane and generates an alarm in case of exceeding a threshold in the measured value. The implementation has been tested in an experimental facility, using a Netronome SmartNIC as a P4 programmable network device. Response times are reduced by 74% while processing, and delay introduced by the P4 network processing is insignificant.This work was supported in part by the Spanish Ministry of Science and Innovation through the national project (PID2019-108713RB-C54) titled “Towards zeRo toUch nEtwork and services for beyond 5G” (TRUE-5G), and in part by the “Smart Factories of the Future” (5G-Factories) (COLAB19/06) project

    Towards 6G Through SDN and NFV-Based Solutions for Terrestrial and Non-Terrestrial Networks

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    As societal needs continue to evolve, there has been a marked rise in a wide variety of emerging use cases that cannot be served adequately by existing networks. For example, increasing industrial automation has not only resulted in a massive rise in the number of connected devices, but has also brought forth the need for remote monitoring and reconnaissance at scale, often in remote locations characterized by a lack of connectivity options. Going beyond 5G, which has largely focused on enhancing the quality-of-experience for end devices, the next generation of wireless communications is expected to be centered around the idea of "wireless ubiquity". The concept of wireless ubiquity mandates that the quality of connectivity is not only determined by classical metrics such as throughput, reliability, and latency, but also by the level of coverage offered by the network. In other words, the upcoming sixth generation of wireless communications should be characterized by networks that exhibit high throughput and reliability with low latency, while also providing robust connectivity to a multitude of devices spread across the surface of the Earth, without any geographical constraints. The objective of this PhD thesis is to design novel architectural solutions for the upcoming sixth generation of cellular and space communications systems with a view to enabling wireless ubiquity with software-defined networking and network function virtualization at its core. Towards this goal, this thesis introduces a novel end-to-end system architecture for cellular communications characterized by innovations such as the AirHYPE wireless hypervisor. Furthermore, within the cellular systems domain, solutions for radio access network design with software-defined mobility management, and containerized core network design optimization have also been presented. On the other hand, within the space systems domain, this thesis introduces the concept of the Internet of Space Things (IoST). IoST is a novel cyber-physical system centered on nanosatellites and is capable of delivering ubiquitous connectivity for a wide variety of use cases, ranging from monitoring and reconnaissance to in-space backhauling. In this direction, contributions relating to constellation design, routing, and automatic network slicing form a key aspect of this thesis.Ph.D

    Programmability and management of software-defined network infrastructures

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    In a landscape where software-based solutions are evermore central in the design, development and deployment of innovative solutions for communication networks, new challenges arise, related to how to best exploit the new solutions made available by technological advancements. The objective of this Thesis is to consolidate and improve some recent solutions for programmability, management, monitoring and provisioning in software-based infrastructures, as well as to propose new solutions for service deployment, management and monitoring over softwarized domains, along with working implementations, validating each point with punctual experimental validations and performance evaluations. The treatise starts by introducing the key concepts the research work is based upon, then the main research activities performed during the three years of PhD studies are presented. These include a high-level interface for network programmability over heterogeneous softwarized domains, an implementation of a protocol for service function chaining over non-programmable networks for multi-domain orchestration, a modular system for unified monitoring of softwarized infrastructures, a protocol for the employment of unused channels to augment the capabilities of the softwarized infrastructure, and a XaaS-aware orchestrator designed to operate over Fog computing scenarios

    High Performance Network Evaluation and Testing

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    Jornadas Nacionales de Investigación en Ciberseguridad: actas de las VIII Jornadas Nacionales de Investigación en ciberseguridad: Vigo, 21 a 23 de junio de 2023

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    Jornadas Nacionales de Investigación en Ciberseguridad (8ª. 2023. Vigo)atlanTTicAMTEGA: Axencia para a modernización tecnolóxica de GaliciaINCIBE: Instituto Nacional de Cibersegurida
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