Nowadays a wide range of applications is constrained by low-latency requirements that
cloud infrastructures cannot meet. Multiaccess Edge Computing (MEC) has been proposed …

Cloud applications are increasingly executed onto lightweight containers that can be
efficiently managed to cope with highly varying and unpredictable workloads. Kubernetes …

Applications that are constrained by low-latency requirements can hardly be executed on
cloud infrastructures, given the high network delay required to reach remote servers. Multi …

Dynamic resource allocation is the mechanism that allows one to change the resources
associated with applications at runtime and match their actual needs. The autoscaling …

Autoscaling systems provide means to automatically change the resources allocated to a
software system according to the incoming workload and its actual needs. Public cloud …

To manage edge applications more conveniently, cloud providers extend the container and
the container orchestrator from the cloud to the edge. The existing container orchestrators …

Containerization is a virtualization technique that allows one to create and run executables
consistently on any infrastructure. Compared to virtual machines, containers are lighter since …

Application deployment as one of the software development stages has become more
complex in the presence of distributed architectures that involve a variety of tools, and, with …

Serverless computing has gained popularity due to its cost efficiency, ease of deployment,
and enhanced scalability. However, in serverless environments, servers are initiated only …

One of the key metrics of interest for stream processing applications is “latency”, which
indicates the total time it takes for the application to process and generate insights from …