With the increasing advancement in the applications of the Internet of Things (IoT), the
integrated Cloud Computing (CC) faces numerous threats such as performance, security …

Cloud computing with its three key facets (ie, Infrastructure-as-a-Service, Platform-as-a-
Service, and Software-as-a-Service) and its inherent advantages (eg, elasticity and …

The emergence of Internet of Things (IoT) has enabled the interconnection and
intercommunication among massive ubiquitous things, which caused an unprecedented …

With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud
computing paradigm faces several challenges such as high latency, low capacity and …

A transformation is underway in electric power and energy systems (EPESs) to provide
clean distributed energy for sustainable global economic growth. Internet of Things (IoT) is at …

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 …

For various reasons, the cloud computing paradigm is unable to meet certain requirements
(eg low latency and jitter, context awareness, mobility support) that are crucial for several …

Fog computing uses one or more collaborative end users or near-user edge devices to
perform storage, communication, control, configuration, measurement and management …

Advancements in smart devices, wearable gadgets, sensors, and communication paradigm
have enabled the vision of smart cities, pervasive healthcare, augmented reality and …

Osmotic computing is a new paradigm to support the efficient execution of Internet of Things
(IoT) services and applications at the network edge. This paradigm is founded on the need …