The Industrial Internet of Things (IIoT) promises automation, efficiency, and data-driven
decision-making by real-time data collection and analysis. However, traditional IIoT …

This article discusses four fundamental topics for future Distributed Computing Continuum
Systems: their representation, model, lifelong learning, and business model. Further, it …

The distributed computing continuum systems (DCCS) and representation learning (ReL)
are two diverse computer science technologies with their use cases, applications, and …

Distributed Computing Continuum Systems – Opportunities and Research Challenges |
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Computing Continuum (CC) systems are challenged to ensure the intricate requirements of
each computational tier. Given the system's scale, the Service Level Objectives (SLOs) …

A captivating set of hypotheses from the field of neuroscience suggests that human and
animal brain mechanisms result from few powerful principles. If proved to be accurate, these …

Compute Continuum (CC) systems comprise a vast number of devices distributed over
computational tiers. Evaluating business requirements, ie, Service Level Objectives (SLOs) …

The concept of a distributed computing continuum promises to offer a unified view of
computing, communication and data resources scattered across edge, fog, and cloud, and …

As traditional linear models have proved to be ineffective in perspective of the stagnant
decision-making and inefficient data federation, the pathway onwards a European data …

The promises of the computing continuum paradigm motivate a paradigm change for
Internet-distributed computing systems. Unfortunately, we are still far from being able to …