Future AI applications require performance, reliability and privacy that the existing, cloud-
dependant system architectures cannot provide. In this article, we study orchestration in the …

IoT systems are becoming an essential part of our environment. Smart cities, smart
manufacturing, augmented reality, and self-driving cars are just some examples of the wide …

The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …

Many science and industry IoT applications necessitate data processing across the edge-to-
cloud continuum to meet performance, security, cost, and privacy requirements. However …

Nowadays, Serverless computing is emerging as one of the most used Cloud services. In
particular, the Function as Service (FaaS) is bringing to Cloud consumers, developers, and …

The edge-to-cloud continuum involves heterogeneous computing resources, including low-
power physical devices, Virtual Machines (VMs) in cloud management platforms and …

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 …

Sending data to the cloud for analysis was a prominent trend during the past decades,
driving cloud computing as a dominant computing paradigm. However, the dramatically …

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 …

Serverless computing has been establishing itself as a compelling paradigm for the
development and of modern cloud-native applications. Serverless represents the next step …