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 …

The heterogeneous, geographically distributed infrastructure of fog computing poses
challenges in data replication, data distribution, and data mobility for fog applications. Fog …

The deployment, monitoring and configuration of applications in Fog Computing are
becoming quite challenging, due to heterogeneity of mobile and IoT devices involved, data …

The concept of fog computing refers to a paradigm of distributed computing that extends
cloud computing to the most remote parts of the network. Simulators are useful for analyzing …

During the last decade, Cloud computing has efficiently exploited the economy of scale by
providing low cost computational and storage resources over the Internet, eventually leading …

The combination of edge and cloud in the fog computing paradigm enables a new breed of
data-intensive applications. These applications, however, have to face a number of fog …

Today, the importance of enhanced quality of service and energy optimization has promoted
research into sensor applications such as pervasive health monitoring, distributed …

Increasing use of smart devices and smart applications have attracted many Fog-based
services like pervasive health monitoring, distributed computing, etc to improve the real-life …

Cloud data centers used for High Performance Computing (HPC) with volatile Internet of
Things (IoT) devices absolutely requires zero-speed switching/low latency, normalized …

Abstract Data as a Service (DaaS) organizes the data management life-cycle around the
Service Oriented Computing principles. Data providers are supposed to take care not only of …