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

Theoretically, the Markov boundary (MB) is the optimal solution for feature selection.
However, existing MB learning algorithms often fail to identify some critical features in real …

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 …

Machine learning is good at learning general knowledge and predictive knowledge from
known and limited environments, and perform well in similar environments. However, their …

This chapter presents our vision on the need of developing new managing technologies to
harness distributed computing continuum systems. These systems are concurrently …