… Fog computing is a novel paradigm through which the cloud platform model is extended
by using network edges to back up computing resources. Similar to the cloud platform, fog …

… secure computation offloading scheme in Fog-Cloud-IoT environment (SecOFF-FCIoT).
Using machine learning strategies, we accomplish efficient, secure offloading in Fog-IoT setting. …

… This differs from traditional cloud … fog computing approach facilitates decentralised intelligence
by persisting and executing shadow copies of machine learning models on compute/fog …

… of machine learning techniques to the CPS domain. In particular, we explore how machine
learning methods should be deployed and integrated in Cloud and Fog architectures for …

… fog computing problems being compute-bound, our goal is to measure the performance
characteristics for a variety of machine learning … leverage available cloud and fog resources. …

… The architecture's main aim is to allow for the EU's requests to be served by the cloud or
pass it to the closest available fog nodes within the EU's vicinity. The most important entities of …

… of Fog-based computational resources and their integration with the Cloud introduces new
… the QoS requirements of applications on Fog and Cloud resources. One possible approach …

… a fog or cloud back-end system. In this paper we investigate the … of fog computing by proposing
a novel distributed learning … fog, instead of transmitting all raw sensor values to the cloud …

… • Thirdly, we provide an appropriate machine learning (ML) kit for secure fog-cloud of things
… of attacks in fog framework. • Lastly, we provide guidance to the readers about fog-cloud of …

… out to be helpful identifying common configuration mistakes in container-based clouds. …
In Section 3 we discuss the role of Machine Learning approaches, while our innovative …