Fog computing enables use cases where data produced in end devices are stored, processed, and acted on directly at the edges of the network, yet computation can be offloaded to more powerful instances through the edge to cloud continuum. Such offloading mechanism is especially needed in case of modern multi-purpose IoT gateways, where both demand and operation conditions can vary largely between deployments. To facilitate the development and operations of gateways, we implement offloading directly as part of the IoT rapid prototyping process embedded in the software stack, based on Node-RED. We evaluate the implemented method using an image processing example, and compare various offloading strategies based on resource consumption and other system metrics, highlighting the differences in handling demand and service levels reached.

翻译：雾计算可以使终端设备产生的数据在网络边缘直接储存、处理和运行,但计算可以通过边缘至云层连续线向更强大的情况倾卸。对于现代多用途IoT网关,这种卸载机制特别需要,因为那里的需求和运行条件在部署之间大不相同。为了便利网关的开发和运行,我们直接实施卸载,作为嵌入软件堆叠的IoT快速原型流程的一部分,以Nde-RED为基础。我们使用图像处理示例对实施的方法进行评估,并比较基于资源消耗和其他系统度量的各种卸载战略,突出在处理需求和服务水平上的差距。