Cloud computing provides software, infrastructure, and platform as services and reduces the
cost of usage for cloud customers. Recently, a system architecture called Fog and Edge …

As a powerful paradigm, deep learning (DL) models have been used in many applications
for classification tasks in images, text, and audio. Through DL models, we can learn task …

Abstract Internet of Things (IoT) is considered as a scheme that consists of smart objects
furnished with sensors, processing and networking technologies amalgamated to work …

Fog computing is a paradigm to overcome the cloud computing limitations which provides
low latency to the users' applications for the Internet of Things (IoT). Software-defined …

Fog computing is a new promising paradigm that is capable of addressing the problems with
the traditional cloud computing. However, prior to the development of this qualifiedly roseate …

IoT systems use sensors to collect data from smart environments and manage resources
through data analysis. An IoT system deals with many connected devices with different …

This study proposes a fog gateway selection strategy based on a hybrid Multi-criteria
Decision-Making (MCDM) optimization model to avoid overwhelming the fog–cloud network …

Fog computing is an emerging computing paradigm that has come into consideration for the
deployment of Internet of Things (IoT) applications amongst researchers and technology …

Fog computing is the next frontier of cloud computing since it can compute and store a
massive amount of data generated by IoT devices near their sources. Indeed, transmitting all …

The impetuous expansion of the Internet of Things (IoT) network has resulted in a noticeable
increase in the production of sensitive user data. With this, to meet the demand for real-time …