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Resultados de búsqueda para Software Defined Network

Optimizing the Response Time in SDN-Fog Environments for Time-Strict IoT Applications (Summary)

The Internet of Things (IoT) paradigm offers applications the potential of automating real-world processes. Applying IoT to intensive domains comes with strict quality of service (QoS) requirements, such as very short response times. To achieve these goals, the first option is to distribute the computational workload throughout the infrastructure (edge, fog, cloud). In addition, integration of the infrastructure with enablers such as software-defined networks (SDNs) can further improve the QoS experience, thanks to the global network view of the SDN controller and the execution of optimization algorithms. Therefore, the best placement for both the computation elements and the SDN controllers must be identified to achieve the best QoS. While it is possible to optimize the computing and networking dimensions separately, this results in a suboptimal solution. Thus, it is crucial to solve the problem in a single effort. In this work, the influence of both dimensions on the response time is analyzed in fog computing environments powered by SDNs. DADO, a framework to identify the optimal deployment for distributed applications is proposed and implemented through the application of mixed integer linear programming. An evaluation of an IIoT case study shows that our proposed framework achieves scalable deployments over topologies of different sizes and growing user bases. In fact, the achieved response times are up to 37.89% lower than those of alternative solutions and up to 15.42% shorter than those of state-of-the-art benchmarks.

Autores: Juan Luis Herrera / Jaime Galán-Jiménez / Javier Berrocal / Juan Manuel Murillo Rodríguez / 
Palabras Clave: Edge Computing - Fog Computing - Internet of Things - Software Defined Network

A characterisation of reliability tools for Software Defined Networks (Trabajo original)

Software Defined Network (SDN) is a new paradigm in networking that introduces great flexibility, allowing the dynamic configuration of parts of the network through centralised programming. SDN has been successfully applied in field networks, and is now being applied to wireless and mobile networks, generating Software Defined Mobile/Wireless networks (SDWNs). SDN can be also combined with Network Function Virtualization (NFV) producing a software network in which the specific hardware is replaced by general purpose computing equipment running SDN and NFV software solutions. This highly programmable and flexible network introduces many challenges from the point of view of reliability (or robustness), and operators need to ensure the same level of confidence as in previous, less flexible deployments. This paper provides a first study of the current tools used to analyse the reliability of SDNs before deployment and/or during the exploitation of the network. Most of these tools offer some kind of automatic verification, supported by algorithms based on formal methods, but they do not differentiate between fixed and mobile/wireless networks. In the paper we provide a number of classifications of the tools to make this selection easier for potential users, and we also identify promising research areas where more effort needs to be made.

Autores: Leticia Lavado / Laura Panizo / María del Mar Gallardo / Pedro Merino / 
Palabras Clave: Communication Networks - Model checking - Reliability - Runtime - Software Defined Network - Verification

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