With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud
computing paradigm faces several challenges such as high latency, low capacity and …

In recent years, the Internet of Things (IoT) has been one of the most popular technologies
that facilitate new interactions among things and humans to enhance the quality of life. With …

Fog Computing is emerging as the dominating paradigm bridging the compute and
connectivity gap between sensing devices and latency-sensitive services. However …

The wide spread deployment of smart edge devices and applications that require real-time
data processing, have with no doubt created the need to extend the reach of cloud …

State-of-the-art applications are typically deployed on top of cloud services which offer the
illusion of infinite resources, elastic scalability, and a simple pay-per-use billing model …

Fog Computing extends the Cloud Computing paradigm to the edge of the network, thus
enabling a new breed of applications and services. Defining characteristics of the Fog are …

Billions of devises are expected to be connected to the Internet of Things network in the near
future, therefore, a considerable amount of data will be generated, and gathered every …

Recent advances in the areas of Internet of Things (IoT), Big Data, and Machine Learning
have contributed to the rise of a growing number of complex applications. These …

Since the proliferation of fog computing, various distributed architectures have been
proposed to extend the cloud to the edge of the network. However, so far there exists no …

To manage the IoT resources to process the massive amount of collected data in complex
systems, Allocation of tasks to nodes to increase user satisfaction has been noticed by …