With the advancement of Internet-of-Things (IoT) technology, various domains, such as
smart factories and smart cars have used this new technology to provide value-added …

Operating data-intensive applications on edge systems is challenging, due to the extreme
workload and device heterogeneity, as well as the geographic dispersion of compute and …

Cloud computing is a major breakthrough in enabling multi-user scalable web services,
process offloading and infrastructure cost savings. However, public clouds impose high …

Edge computing (EC) is a recent computing paradigm in the IoT domain for performing
calculations and processing at the edge of the network, closer to the user instead of moving …

Edge computing has emerged as a popular paradigm for supporting mobile and IoT
applications with low latency or high bandwidth needs. The attractiveness of edge …

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 …

More and more real-time IoT applications such as smart cities or autonomous vehicles
require big data analytics with reduced latencies. However, data streams produced from …

The recent increase in the number of Internet of Things (IoT) devices has led to the
generation of a large amount of data. These data are generally processed by cloud servers …

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 …

The proliferation of Internet of Things (IoT) data and innovative mobile services has
promoted an increasing need for low-latency access to resources such as data and …