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

Edge intelligence and, by extension, any distributed computing continuum system will bring
to our future society a plethora of new and useful applications, which will certainly …

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

This article presents our vision on the need of develo** new managing technologies to
harness distributed “computing continuum” systems. These systems are concurrently …

Future AI applications require performance, reliability and privacy that the existing, cloud-
dependant system architectures cannot provide. In this article, we study orchestration in the …

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 (DCCS) make use of a vast number of computing
devices to process data generated by edge devices such as the Internet of Things and …

The modern computing scenario of the Computing Continuum exhibits large and complex
applications with heterogeneous requirements running on distributed infrastructure. Still …

Managing digital and connected systems has become increasingly challenging in the past
decade due to their scale and complexity. A new perspective is required to manage these …

Distributed Computing Continuum Systems – Opportunities and Research Challenges |
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