Over the past few years, the relevance of the Internet of Things (IoT) has grown significantly
and is now a key component of many industrial processes and even a transparent …

Context Over the last few years, there has been an increasing interest in the convergence of
cloud computing and the Internet of Things (IoT). Although software systems in this domain …

The use of containers in cloud architectures has become widespread, owing to advantages
such as limited overheads, easier and faster deployment, and higher portability. Moreover …

Automated deployment and run-time management of microservices-based applications in
cloud computing environments is relatively well studied with several mature solutions …

In this paper we present Foggy, an architectural framework and software platform based on
Open Source technologies. Foggy orchestrates application workload, negotiates resources …

In recent years, the development of the Internet of Things (IoT) has largely been supported
by the parallel development of the Cloud computing capacities. Cloud computing offered …

Fog computing extends cloud computing to end devices, in order to better support time
dependent, location dependent, massive scale, and latency sensitive applications. In this …

EdgeNet is a public Kubernetes cluster dedicated to network and distributed systems
research, supporting experiments that are deployed concurrently by independent groups. Its …

Mobile edge computing (MEC) is used to offload services (tasks) from cloud computing in
order to deliver those services to mobile Internet of Things (IoT) devices near mobile edge …

Modern IoT analytics are computational and data intensive. Existing analytics are mostly
hosted in cloud data centers, and may suffer from high latency, network congestion, and …