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 …

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 …

In the last few years, Internet of Things, Cloud computing, Edge computing, and Fog
computing have gained a lot of attention in both industry and academia. However, a clear …

With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer
satisfactory services for latency‐sensitive and real‐time applications due to high latency and …

Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

The Fog computing paradigms are becoming popular means of utilizing resources optimally
by the IoT devices, extending quality of service to the vicinity of the user, and achieve fast …

Cloud computing is not only providing the plethora of services in the form of resources
(computational, storage etc) to end user but also contributing the major role in the …

Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

Systems based on fog computing produce massive amounts of data; accordingly, an
increasing number of fog computing apps and services are emerging. In addition, machine …

Internet of Things (IoT) continues to play a critical role with a rapid increase in connected
devices. Fog computing, accompanied by the edge paradigms for computing such as …