All one needs to know about fog computing and related edge computing paradigms: A complete survey

TL;DR: A Visible Light Communication system that can safely manage vehicles crossing an intersection using Edge of Things facilities is proposed and results show that the short-range mesh network ensures a secure communication from street lamp controllers to the edge computer through the neighbor traffic light controller with active cellular connection.

TL;DR: The aim of this paper is to create a modeling language which meets all requirements concerning the design of the architecture of edge computing systems accounting for data protection, and extends UMLsec to satisfy all requirements.

TL;DR: The increasing diversity of connected devices leads to new application domains being envisioned and some of these need ultra low latency or have privacy requirements that cannot be satisfied by the current standards.

TL;DR: In this paper , the authors present five key pillars of innovation towards privacy-preserving edge computing, regarding smart sampling of IoT devices, anonymous authentication and consent management, dynamic data-driven pattern management, opportunistic IoT clustering, distributed IoT data governance, and resource integrity validation.

TL;DR: The clouds are clearing the clouds away from the true potential and obstacles posed by this computing capability.

TL;DR: The definition of edge computing is introduced, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge Computing.

TL;DR: This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).

TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management is provided in this paper, where a set of issues, challenges, and future research directions for MEC are discussed.