The fast growth in the amount of connected devices with computing capabilities in the past
years has enabled the emergence of a new computing layer at the Edge. Despite being …

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 …

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 …

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

Edge computing is a viable approach to improve service delivery and performance
parameters by extending the cloud with resources placed closer to a given service …

Nowadays, there is an increasing number of workloads, ie data serving, analytics, AI, HPC
workloads, etc., executed on the Cloud. Although multi-tenancy has gained a lot of attention …

As devices existing at the edge of the network improve in their processing and data storage
capacity, there is increasing potential to host and enact services on such devices. A …

State-of-the-art serverless platforms use hard-coded scheduling policies that are unaware of
the possible topological constraints of functions. Considering these constraints when …

Loosely coupled and highly cohesived microservices running in containers are becoming
the new paradigm for application development. Compared with monolithic applications …

Edge Computing is moving resources toward the network borders, thus enabling the
deployment of a pool of new applications that benefit from the new distributed infrastructure …