Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

New technologies bring opportunities to deploy AI and machine learning to the edge of the
network, allowing edge devices to train simple models that can then be deployed in practice …

Traditional federated learning (FL) frameworks rely heavily on terrestrial networks, where
coverage limitations and increasing bandwidth congestion significantly hinder model …

In this paper, we present energy-aware scheduling for Serverless edge computing. Energy
awareness is critical since edge nodes, in many Internet of Things (IoT) domains, are meant …

As demand for long-span bridges is increasing worldwide, effective maintenance has
become a critical issue to maintain their structural integrity and prolong their lifetime. Given …

Within the computing continuum, SBCs (single-board computers) are essential in the Edge
and Fog, with many featuring multiple processing cores and GPU accelerators. In this way …

Over the past decade, Apache Hadoop has become a leading framework for big data
processing. Single board computer (SBC) clusters, predominantly adopting Raspberry Pi …

Intelligent compaction (IC) is a technology that uses non-contact sensors to monitor and
record the compaction level of geomaterials in real-time during road construction. However …

Single-board computers (SBCs) are emerging as an efficient and economical solution for fog
and edge computing, providing localized big data processing with lower energy …

Scientific problems can be formulated as workflows to allow them to take advantage of
cluster computing resources. Generally, the assumption is that the greater the resources …