The Internet of Things (IoT) uptake brought a paradigm shift in application deployment.
Indeed, IoT applications are not centralized in cloud data centers, but the computation and …

Fog and cloud computing are emerging paradigms that enable distributed and scalable data
processing and analysis. However, these paradigms also pose significant challenges for …

Efficient scheduling of scientific workflows in hybrid cloud-edge environments is crucial for
optimizing resource utilization and minimizing completion time. In this study, we evaluate …

Emerging computing paradigms like mist, edge, and fog computing address challenges in
the real-time processing of vast Internet of Things (IoT) applications. Alongside, cloud …

Fog computing extends Cloud-like infrastructure to the Edge, advancing Industrial Internet-of-
Things (IIoT) applications in which parts of business-oriented enterprise systems, decoupled …

With the proliferation of IoT devices, there has been exponential growth in data generation,
placing substantial demands on both cloud computing (CC) and internet infrastructure. CC …

This systematic review offers a comprehensive analysis of scheduling algorithms designed
for scientific workflows, particularly those handling Big Data. By examining research …

ABSTRACT The Internet of Things (IoT) facilitates the connectivity of billions of physical
devices for exchanging information and enabling a wide range of applications. These …

In recent years, there has been a significant increase in the volume of data generated by
Internet of Things (IoT) applications, mostly driven by the rapid proliferation of IoT devices …

Fog computing extends Cloud-like infrastructure to the Edge, advancing Industrial Internet-of-
Things (IIoT) applications in which parts of business-oriented enterprise systems, decoupled …