Fog computing is transforming the network edge into an intelligent platform by bringing
storage, computing, control, and networking functions closer to end users, things, and …

The potential upsides of fog computing are undeniable, including better near-real-time
response, reduced transmission costs and analysis for IoT, which will further have a …

The significant volume, variety, and velocity of data received from the many Industrial
Internet of Things (IIoT) devices and other systems in a cloud-based or fog-based …

Fog computing aims to support applications requiring low latency and high scalability by
using resources at the edge level. In general, fog computing comprises several autonomous …

Fog computing is a paradigm which brings computing, storage, and networking closer to end
users and end devices for better service provisioning. One of the crucial factors in the …

Fog computing, which provides low-latency computing services at the network edge, is an
enabler for the emerging Internet of Things (IoT) systems. In this paper, we study the …

Fog computing is a promising solution for new emerging applications requiring intensive
computation resources and low latency. Devices at the edge of network can share idle …

Fog computing is an advanced technique to decrease latency and network congestion, and
provide economical gains for Internet of Things (IoT) networks. In this paper, we investigate …

In this paper, we investigate a cost model and the resulted cost-minimization user
scheduling problem in multi-tier fog computing networks. For a typical multi-tier fog …

Fog computing is a promising architecture to provide economical and low latency data
services for future Internet of Things (IoT)-based network systems. Fog computing relies on a …