The computing demand for massive applications has led to the ubiquitous deployment of
computing power. This trend results in the urgent need for higher-level computing resource …

Additive manufacturing (AM) or fused filament fabrication (FFF) are used to fabricate
innovative virgin/composite structures using thermoplastic polymers. FFF is one of the most …

In cloud computing multi-task scheduling, a large number of tasks require the system to have
excellent task scheduling capabilities to ensure stable and efficient operation of the system …

In order to meet the ubiquitous requirements of cloud computing users (real-time, low energy
cost, and quick response time), fog computing has widely been used as a viable alternative …

This paper aims to implement four machine learning models using Differential Evolution to
tune internal parameters and for feature selection in a problem involving the classification of …

The accelerating adoption of cloud models has increased the amount of complexity in cloud
data centers with particular emphasis on the energy management load efficiency on …

Hardware disaggregation decouples resources (eg, processors and memory) from
monolithic servers, potentially improving service reliability. However, from another …

In the era of the Edge-to-Cloud Continuum paradigm, effectively managing heterogeneous
and distributed resources poses significant challenges. Autonomic system operation …

Prediction problems have been highly studied in the literature especially in service systems.
Recently machine learning based solutions have been added to find optimal solutions to …

Cloud computing has emerged as a dominant paradigm, where a colossal scale serves as
the claim to fame. Scheduling exists as a key component of cloud computing, and small …