Fog computing is a paradigm that brings computational resources and services to the
network edge in the vicinity of user devices, lowering latency and connecting with cloud …

In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

Cloud computing has become integral lately due to the ever-expanding Internet-of-things
(IoT) network. It still is and continues to be the best practice for implementing complex …

With the galloping progress of the Internet of Things (IoT) and related technologies in
multiple facets of science, distribution environments, namely cloud, edge, fog, Internet of …

The rapid growth of IoT devices leads to increasing requests. These tremendous requests
cannot be processed by IoT devices due to the computational power of IoT devices and the …

The massive growth of diversified smart devices and continuous data generation poses a
challenge to communication architectures. To deal with this problem, communication …

Fog computing complements cloud computing by removing several limitations, such as
delays and network bandwidth. It emerged to support Internet of Things (IoT) applications …

The growing number of connected objects has allowed the development of new applications
in different areas. In addition, the technologies that support these applications, such as cloud …

Infrastructure of fog is a complex system due to the large number of heterogeneous
resources that need to be shared. The embedded devices deployed with the Internet of …

Microservices is an emerging paradigm for developing distributed systems. With their
widespread adoption, more and more work investigated the relation between microservices …