As for data processing, data should be sent to cloud, stored and computed. Usually, the
amount of data is huge enough for higher latency of processing. In addition, the mobility of …

With the development of new generation information technology, many traditional factories
begin to transform to smart factories. How to process the huge volume data in the smart …

In recent years, cloud computing and fog computing have appeared one after the other, as
promising technologies for augmenting the computing capability of devices locally. By …

Fog computing provides cloud services at the user end. User requests are processed on the
fog nodes deployed near the end-user layer in a fog computing environment. Fog computing …

Abstract The Internet of things (IoT) paradigm has emerged to connect the number of
devices using the Internet resulting in the deployment of smart cities. Cloud computing has …

In order to apply fog computing to the field of medical big data, this paper proposes a low-
latency hybrid cloud-fog network architecture for medical big data, which can solve the …

Fog computing is considered a derivative of cloud computing that aims to reduce the huge
transmission latency and CPU time, as well as the overall cost of resource usage in the …

Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …

Abstract Today, the Internet of Things (IoT) technology is increasingly applied to various
applications such as electronic health, smart cities, car networks, positioning systems, and …

Fog computing has been prioritized over cloud computing in terms of latency-sensitive
Internet of Things (IoT) based services. We consider a limited resource-based fog system …