Efficient and Fast Deployment of On-demand Edge IoT Network Functions

随着传感器和移动设备（IoTx）的激增，个人区域网络和小型本地毛细管网络也在增长，数据流量和安全挑战也在增加。这种新兴的计算模式的一个重要特征是计算需求的波动。事实上，在传感器被激活或移动的设备在线之前，不需要任何收集或处理。因此，出于效率要求，应及时交付和部署网络功能和专业服务。此外，还应开发专用的框架，使其能够快速和实时更新。基于最先进的虚拟化技术，很难将应用程序或功能移动到不同的网段，主要是因为它们的嵌入式技术和平台关联。此外，跨平台工作负载移动性（例如，从Openstack云到AWS或Google）仍然是一个很大的挑战。拟议研究的主要目标是为开发新的方法和工具做出贡献，从而实现将在物联网边缘设备上运行的网络功能的高效和实时按需部署。

As the Personal Area Networks and small local Capillary Networks grow with the proliferation of sensors andmobile devices (IoTx), so does the volume of data traffic and security challenges. One of the uniquecharacteristic of this emerging computing paradigm is the fluctuation of computing needs. In fact, no datacollection or processing is required until the sensors are activated or mobile devices become online. Therefore,for efficiency requirements, network functionalities and specialized services should be delivered and deployedjust in time. In addition, dedicated Frameworks should be developed to enable their fast and real-time update.Based on state of the art virtualization technologies, it is difficult to move applications or functions to differentnetwork segments, mainly because of their embedded technologies and platform association. In addition, crossplatform workload mobility (e.g., from Openstack cloud to AWS or Google ) is still a big challenge.The main objective of the proposed research is to contribute to the development of novel methods and toolsallowing efficient and live on-demand deployment of network functions that will run on IoT edge equipment.