Edge computing applications leverage advances in edge computing along with the latest
trends of convolutional neural networks in order to achieve ultra-low latency, high-speed …

IoT environments are forecasted to grow exponentially in the coming years thanks to the
recent advances in both edge computing and artificial intelligence. In this paper, a model of …

Novel Internet of Things (IoT) requirements derived from a broader interconnection of
heterogeneous devices have pushed the horizons of Cloud computing and are giving rise to …

In the past few years, researchers from academia and industry stakeholders suggest adding
more computational resources (ie, storage, networking, and processing) closer to the end …

Edge Computing is a new distributed Cloud Computing paradigm in which computing and
storage capabilities are pushed to the topological edge of a network. However, various …

The edge computing model is an approach to Internet of Things (IoT) architectures based on
the redistribution of services and infrastructure from centralized clouds to locations closer to …

Under the Edge computing umbrella, mobile cloud computing is an emerging area where
two trends come together to compose its major pillars. On one hand, the virtualization …

Applications on top of the Internet of Things (IoT) show big potential, but the domain raises
challenges for software engineers. Heterogeneous hardware environments and software …

Mobile edge computing (MEC) is an emerging standard where cloud computing services
like storage and computing, are provided to the edge of networks. MEC has the potential of …

Edge Computing represents the computing and networking tasks that IoT (Internet of Things)
devices perform at the Edge of the network in communication with the remote Cloud. In this …