Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

Continuous integration enables the development of microservices-based applications using
container virtualization technology. Container orchestration systems such as Kubernetes …

Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the
network with low latency and high-access bandwidth to support a diverse range of IoT …

The development of cloud computing delivery models inspires the emergence of cloud-
native computing. Cloud-native computing, as the most influential development principle for …

With the diffusion of Fog and Edge Computing paradigms, new application categories have
emerged with specific quality of service requirements, in terms of communication latency …

Today's distributed computing infrastructures en-compass complex workflows for real-time
data gathering, transferring, storage, and processing, quickly overwhelming centralized …

The continuous expansion of Edge computing calls for efficient scheduling techniques for
the employed microservices. However, typical container schedulers often fall short when …

Kubernetes is today the de-facto standard container orchestration platform for the lifecycle
management of microservices-based applications on Cloud environments. However it is not …

Orchestrating distributed applications on the Cloud-to-Edge continuum is a challenging task,
because of the continuously varying node computational resources availability and node-to …

Artificial Intelligence (AI) and Deep Learning (DL) are pervasive today, with applications
spanning from personal assistants to healthcare. Nowadays, the accelerated migration …