IoT traffic flow management in software defined networks

• Autor(a) principal: Marques, Sofia Sucena Melo
• Data de Publicação: 2018
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10773/25032
• topic: Software Defined Networks (SDN); OpenFlow; OpenDaylight; Internet of Things (IoT); Traffic management

In the past few years we have witnessed a growing interest in the Internet of Things (IoT ) concept, which has resulted in new challenges to current and future networks. Each IoT device has been designed to meet a specific objective as well as the environment where these devices are deployed. This implies the creation of IoT subnetworks, where there is a variety of heterogeneous communications. Besides this, due to the increase of devices connected to the Internet, the size and complexity of modern infrastructures deployments have evolved to a state that challenges their management. As the number of connected devices continues to expand, the network capacity is becoming limited and networks are facing a tipping point, as mobile data is also on the rise. The traditional networking approach requires the manual configuration of each network device, which contributes to the increase of costs for network operators as they have to upgrade their networks to meet the current demand. To comply with these objectives, it is necessary to adopt new strategies that are able to integrate this heterogeneity in the devices and also in the network in a stable communication platform and this where the concept of Software Defined Networking (SDN) will contribute. SDN represents a modern networking approach, where the data and control planes are separated which enables a more scalable and flexible network architecture. By leveraging network infrastructures in a scalable and practical way, SDN allows the simplification of the network design and as well as dynamic control, while it reduces the investment in hardware platforms. It provides tools that are implemented through software processes that can be applied centrally and provisioned automatically using orchestration tools. This master thesis aims to show that SDN is a viable tool to manage the increased IoT traffic in the network with high efficiency and to guarantee the QoS demanded by these types of data.