Clouds have been relevant business drivers and computational backends for a wide range
of applications, including IoT, e-health, data analytics. To match the complex needs of such …

Abstract NOA-AID (Network Overlays for Adaptive information Aggregation, Indexing and
Discovery on the fog) is an approach for decentralized indexing, aggregation and discovery …

The Internet is experiencing a fast expansion at its edges. The wide availability of
heterogeneous resources at the Edge is pivotal in the definition and extension of traditional …

With the popularity of Web Services and Service-Oriented Architecture (SOA), quality
assurance of SOA applications, such as testing, has become a research focus. Programs …

This paper proposes a continuum-aware programming model enabling the execution of
application workflows across the compute continuum: cloud, fog and edge resources. It …

The computation of nodes centrality is of great importance for the analysis of graphs. The
current flow betweenness is an interesting centrality index that is computed by considering …

A fundamental requirement for the discovery and the retrieval of the entities of a distributed
virtual environment is the definition of a scalable Interest Management (IM) support. This …

Research infrastructures play a crucial role in the development of data science. In fact, the
conjunction of data, infrastructures and analytical methods enable multidisciplinary scientists …

In recent years, Spatial Computing (SC) has emerged as a novel paradigm thanks to the
advancements in Extended Reality (XR), remote sensing, and artificial intelligence …

The intrinsic richness and heterogeneity of large amount of data is paired with the extreme
complexity in its storing and processing, as well as with the heterogeneity of their processing …