Modern cloud applications are composed of tens of thousands of environment-agnostic
serverless functions that can be deployed in either a fog or cloud environment. The key to …

Fog computing is introduced by shifting cloud resources towards the users' proximity to
mitigate the limitations possessed by cloud computing. Fog environment made its limited …

Fog computing could potentially cause the next paradigm shift by extending cloud services
to the edge of the network, bringing resources closer to the end-user. With its close proximity …

Fog computing is an emerging paradigm that aims to meet the increasing computation
demands arising from the billions of devices connected to the Internet. Offloading services of …

Fog-native computing is an emerging paradigm that makes it possible to build flexible and
scalable Internet of Things (IoT) applications using microservice architecture at the network …

Although both cloud and fog computing technologies provide great on-demand services for
the users, but none of them could singly guarantee the Quality of Service for the Internet of …

In the IoT-based systems, the fog computing allows the fog nodes to offload and process
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …

The Function-as-a-Service (FaaS) paradigm has a lot of potential as a computing model for
fog environments comprising both cloud and edge nodes. When the request rate exceeds …

Fog computing has emerged as a complementary solution to address the issues faced in
cloud computing. While fog computing allows us to better handle time/delay-sensitive …

Fog computing emerged as a new paradigm that pushes cloud applications to the network
edge. The fog infrastructure contains mainly distributed and heterogeneous fog nodes that …