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

TL;DR: In this article, a comprehensive review is done on resource allocation techniques used by many researchers in fog computing to find shortcomings for further improvement and future direction and research gaps are also discussed at the end.

TL;DR: The platform supports the mobility of fog nodes and provides a realistic modeling of vehicular networking with the 5G and beyond network in the urban environment and provides insights on the feasibility of different deployment strategies from both technical and financial perspectives.

TL;DR: In this paper, the authors propose a testbed for researchers in associated fields to quickly setup experiments in a federated cloud environment, which simplifies the process of deploying multiple virtual clusters in an OpenStack environment with the possibility of adding realistic network characteristics.

TL;DR: The proposed IoT Server Node is based on a raspberry Pi board and additional communication boards and it is demonstrated with ZigBee IoT nodes based on Arduino board, controlled by an Android application.

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.