Evolución y Contribución para el Internet de las Cosas por las emergentes Redes Definidas por Software

Las últimas décadas han tenido una enorme evolución de las tecnologías de la computación y la comunicación, lo que ha llevado a un desarrollo y despliegue continúo de las infraestructuras de redes informáticas en términos de dimensión y complejidad. Una de las tecnologías que se ha convertido en una parte integral de la vida cotidiana es el Internet de las Cosas (IoT). Sin embargo, existe un consenso en que las nuevas arquitecturas de redes deberían rediseñarse e implementarse pruebas para mejorar muchos problemas técnicos y mejorar el rendimiento. Hoy en día, con el crecimiento exponencial de dispositivos conectados a Internet, la administración y configuración de la red es uno de los desafíos más difíciles para los administradores de red. En este contexto, con la aparición de las redes definidas por software (SDN) y funciones de redes virtualizadas (NFV) como dos nuevos paradigmas de redes, ofrecen muchas oportunidades para superar estos desafíos, ya que permiten gestionar con flexibilidad, configurar, proteger y optimizar la red recursos usando programas de software dinámicos. Este artículo presenta los aportes de la virtualización de funciones de red y arquitecturas que se pueden utilizar para mejorar el rendimiento basado en el protocolo OpenFlow y SDN, desde una perspectiva IoT

Diseño de un entorno de pruebas SDN para soportar el IdC: prototipo y evaluación

The Network functions virtualization (NFV) emerges as one of the most promising technology for the management of the next Internet generation. In recent years, computer and communication systems have considerably evolved influencing the development of network infrastructures in terms of scalability, programmability and dynamic management. The number of connected devices grows exponentially with the development of the Internet of Things (IoT) and a plethora of online applications. The research community has focused its efforts on optimizing network administration with implementation and configuration techniques improving the network performance. With the evolution of new emerging technologies, appears the Software Defined Networking (SDN) and the Virtualization of Network Functions (NFV), which allow a flexible, dynamic and adaptable management to optimize network resources. In an IoT environment, we developed a virtual network architecture, which provides a test platform that allows us to evaluate the orchestration of a distributed SDN controller, obtaining a scalable and flexible management. This research work aims to enhance the large-scale traffic engineering, with a distributed approach including the load-balanced management of controller nodes, allowing dynamic and flexible management. The experimental results show a good performance of the developed testbed platform.La Virtualización de las Funciones de Red (NFV) surge como una de las tecnologías más prometedoras para la gestión de la nueva generación de Internet. En los últimos años, los sistemas informáticos y de comunicación han evolucionado enormemente y han influido en el desarrollo de las infraestructuras de red en términos de escalabilidad, programabilidad y gestión dinámica. El número de dispositivos conectados crece exponencialmente con el desarrollo de Internet de las Cosas (IdC) y de múltiples aplicaciones en línea. Con la evolución de nuevas tecnologías emergentes, aparece el Software Defined Networking (SDN) y la NFV, permitiendo una gestión flexible, dinámica y adaptable para optimizar los recursos de la red. En un entorno de pruebas de IdC, se desarrolló una arquitectura de red virtual, la cual proporciona una plataforma que nos permite evaluar la orquestación de un controlador SDN distribuido. Se evaluó en términos de simulación y experimentación aspectos sobre el tratamiento flujo de datos masivos, el análisis de tráfico de red granulado y la utilización de los recursos de cada uno de los dispositivos conectados. Este trabajo de investigación pretende mejorar significativamente la ingeniería de trafica a gran escala, con un enfoque de distribución de la gestión de carga de los nodos controladores, permitiendo una gestión dinámica y flexible. Los resultados experimentales muestran un buen rendimiento de la plataforma de pruebas desarrollada

Vers une structuration auto-stabilisante des réseaux Ad Hoc

International audienceIn this paper, we present a self-stabilizing asynchronous distributed clustering algorithm that builds non-overlapping k-hops clusters. Our approach does not require any initialization. It is based only on information from neighboring nodes with periodic messages exchange. Starting from an arbitrary configuration, the network converges to a stable state after a finite number of steps. Firstly, we prove that the stabilization is reached after at most n+2 transitions and requires (u+1)* log(2n+k+3) bits per node, whereΔu represents node's degree, n is the number of network nodes and k represents the maximum hops number. Secondly, using OMNet++ simulator, we performed an evaluation of our proposed algorithm.Dans cet article, nous proposons un algorithme de structuration auto-stabilisant, distribuéet asynchrone qui construit des clusters de diamètre au plus 2k. Notre approche ne nécessite aucuneinitialisation. Elle se fonde uniquement sur l’information provenant des noeuds voisins à l’aided’échanges de messages. Partant d’une configuration quelconque, le réseau converge vers un étatstable après un nombre fini d’étapes. Nous montrons par preuve formelle que pour un réseau de nnoeuds, la stabilisation est atteinte en au plus n + 2 transitions. De plus, l’algorithme nécessite uneoccupation mémoire de (u + 1) log(2n + k + 3) bits pour chaque noeud u où u représente ledegré (nombre de voisins) de u et k la distance maximale dans les clusters. Afin de consolider lesrésultats théoriques obtenus, nous avons effectué une campagne de simulation sous OMNeT++ pourévaluer la performance de notre solution

International Workshop on Big Data and Data Mining Challenges on IoT and Pervasive Systems (BigD2M 2015)

We explain the notion of security architecture for Internet of Things (IoT) based on software-defined networking (SDN). In this context, the SDN-based architecture works with or without infrastructure, that we call SDN-Domain. This work describes the operation of the proposed architecture and summarizes the opportunity to achieve network security in a more efficient and flexible with SDN. An overview of existing SDN security applications were discussed and tackles its issues, presenting a new IoT system’s architecture. In this paper we considered the network access control and global traffic monitoring for ad-hoc networks. Finally, we point out architectural design choices for SDN using OpenFlow and discuss their performance implications.We explain the notion of security architecture for Internet of Things (IoT) based on software-defined networking (SDN). In this context, the SDN-based architecture works with or without infrastructure, that we call SDN-Domain. This work describes the operation of the proposed architecture and summarizes the opportunity to achieve network security in a more efficient and flexible with SDN. An overview of existing SDN security applications were discussed and tackles its issues, presenting a new IoT system’s architecture. In this paper we considered the network access control and global traffic monitoring for ad-hoc networks. Finally, we point out architectural design choices for SDN using OpenFlow and discuss their performance implications

SDN based architecture for IoT and improvement of the security

—With the exponential growth of devices connected to the Internet, security networks as one of the hardest challenge for network managers. Maintaining and securing such large scale and heterogeneous network is a challenging task. In this context, the new networking paradigm, the Software Defined Networking (SDN), introduces many opportunities and provides the potential to overcome those challenges. In this article, we first present a new SDN based architecture for networking with or without infrastructure, that we call an SDN domain. A single domain includes wired network, wireless network and Ad-Hoc networks. Next, we propose a second architecture to include sensor networks in an SDN-based network and in a domain. Third, we interconnect multiple domains and we describe how we can enhanced the security of each domain and how to distribute the security rules in order not to compromise the security of one domain. Finally, we propose a new secure and distributed architecture for IoT (Internet of Things).—With the exponential growth of devices connected to the Internet, security networks as one of the hardest challenge for network managers. Maintaining and securing such large scale and heterogeneous network is a challenging task. In this context, the new networking paradigm, the Software Defined Networking (SDN), introduces many opportunities and provides the potential to overcome those challenges. In this article, we first present a new SDN based architecture for networking with or without infrastructure, that we call an SDN domain. A single domain includes wired network, wireless network and Ad-Hoc networks. Next, we propose a second architecture to include sensor networks in an SDN-based network and in a domain. Third, we interconnect multiple domains and we describe how we can enhanced the security of each domain and how to distribute the security rules in order not to compromise the security of one domain. Finally, we propose a new secure and distributed architecture for IoT (Internet of Things)

PER-MARE: Adaptive Deployment of MapReduce over Pervasive Grids

International audienceMapReduce is a parallel programming paradigm successfully used to perform computations on massive amounts of data, being widely deployed on clusters, grid, and cloud infrastructures. Interestingly, while the emergence of cloud in- frastructures has opened new perspectives, several enterprises hesitate to put sensible data on the cloud and prefer to rely on internal resources. In this paper we introduce the PER- MARE initiative, which aims at proposing scalable techniques to support existent MapReduce data-intensive applications in the context of loosely coupled networks such as pervasive and desktop grids. By relying on the MapReduce programming model, PER-MARE proposes to explore the potential advan- tages of using free unused resources available at enterprises as pervasive grids, alone or in a hybrid environment. This paper presents the main lines that orient the PER-MARE approach and some preliminary results

MAPREDUCE CHALLENGES ON PERVASIVE GRIDS

International audienceThis study presents the advances on designing and implementing scalable techniques to support the development and execution of MapReduce application in pervasive distributed computing infrastructures, in the context of the PER-MARE project. A pervasive framework for MapReduce applications is very useful in practice, especially in those scientific, enterprises and educational centers which have many unused or underused computing resources, which can be fully exploited to solve relevant problems that demand large computing power, such as scientific computing applications, big data processing, etc. In this study, we pro-pose the study of multiple techniques to support volatility and heterogeneity on MapReduce, by applying two complementary approaches: Improving the Apache Hadoop middleware by including context-awareness and fault-tolerance features; and providing an alternative pervasive grid implementation, fully adapted to dynamic environments. The main design and implementation decisions for both alternatives are described and validated through experiments, demonstrating that our approaches provide high reliability when executing on pervasive environments. The analysis of the experiments also leads to several insights on the requirements and constraints from dynamic and volatile systems, reinforcing the importance of context-aware information and advanced fault-tolerance features to provide efficient and reliable MapReduce services on pervasive grids

Evolución y Contribución para el Internet de las Cosas por las emergentes Redes Definidas por Software

Las últimas décadas han tenido una enorme evolución de las tecnologías de la computación y la comunicación, lo que ha llevado a un desarrollo y despliegue continúo de las infraestructuras de redes informáticas en términos de dimensión y complejidad. Una de las tecnologías que se ha convertido en una parte integral de la vida cotidiana es el Internet de las Cosas (IoT). Sin embargo, existe un consenso en que las nuevas arquitecturas de redes deberían rediseñarse e implementarse pruebas para mejorar muchos problemas técnicos y mejorar el rendimiento. Hoy en día, con el crecimiento exponencial de dispositivos conectados a Internet, la administración y configuración de la red es uno de los desafíos más difíciles para los administradores de red. En este contexto, con la aparición de las redes definidas por software (SDN) y funciones de redes virtualizadas (NFV) como dos nuevos paradigmas de redes, ofrecen muchas oportunidades para superar estos desafíos, ya que permiten gestionar con flexibilidad, configurar, proteger y optimizar la red recursos usando programas de software dinámicos. Este artículo presenta los aportes de la virtualización de funciones de red y arquitecturas que se pueden utilizar para mejorar el rendimiento basado en el protocolo OpenFlow y SDN, desde una perspectiva IoT

CONCEPTION D'ALGORITHMES DISTRIBUES DE ROUTAGE TOLERANTS AUX FAUTES

COMPIEGNE-BU (601592101) / SudocSudocFranceF

An implementable dynamic automatic self-stabilizing protocol

International audienc