Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …

With the advent of Internet of Things (IoT) connecting billions of mobile and stationary
devices to serve real-time applications, cloud computing paradigms face some significant …

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 …

Abstract Federated Learning (FL) enhances Artificial Intelligence (AI) applications by
enabling individual devices to collaboratively learn shared models without uploading local …

The past few years have seen significant developments in Single Board Computer (SBC)
hardware capabilities. These advances in SBCs translate directly into improvements in SBC …

The introduction of Industry 4.0 and with it factories of the future has become an important fo‐
cus of the world's industry over the past few years. The key technologies of Industry 4.0 can …

A Containerized Big Data Streaming Architecture for Edge Cloud Computing on Clustered
Single-Board Devices Page 1 A Containerized Big Data Streaming Architecture for Edge …

Microgrids bring advantages to end-users and to the smart grid environment. However,
adequate management software, enabling bringing to the field new energy management …

Fulcrum coding combines a high-field outer Random Linear Network Coding (RLNC) that
generates outer coding expansion packets with a small-field inner RLNC that combines the …

Maintaining product quality is essential for smart factories, hence detecting abnormal events
in assembly line is important for timely decision-making. This study proposes an affordable …