The disruptive potentials of the Internet of Things (IoT) entails multifaceted requirements and
development issues (large scale deployments, heterogeneity, cyberphysicality …

Distributed computing frameworks are the fundamental component of distributed computing
systems. They provide an essential way to support the efficient processing of big data on …

Existing radio access networks (RANs) allow only for very limited sharing of the
communication and computation resources among wireless operators and heterogeneous …

Synchromodality/Synchromodal transport is to support real-time optimal integration of
different transport modes and infrastructure in order to induce a modal shift from road to …

In this paper, the Multi-access Edge Computing (MEC) system architecture, as defined by
the ETSI standards, is modeled as a multi-agent system. MEC system management services …

Edge computing and low power wide area networks (LPWANs) have been recognized as
promising technologies in the Internet of Things (IoTs) era to provide massive wireless …

This paper presents techniques for the description and management of distributed streaming
data applications. The proposed solution provides an abstract description language and …

This paper introduces a user-friendly platform developed by the University of Kentucky
Center for Applied AI, designed to make large, customized language models (LLMs) more …

With the fast changing times, the use of communication media is changing faster. In the
recent years, there is an excessive demand amongst the subscribers for seamless streaming …

The Edge and Fog Computing paradigms enable the development of new services and
applications for future network scenarios. As a result, interest arises in developing Internet of …