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 …

With the rapid evolution of the Internet of Things (IoT) and the growth of IoT-generated data,
cloud computing platforms have been widely used to store and process this type of data …

The name edge intelligence, also known as Edge AI, is a recent term used in the past few
years to refer to the confluence of machine learning, or broadly speaking artificial …

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 …

Automated deployment and run-time management of microservices-based applications in
cloud computing environments is relatively well studied with several mature solutions …

Edge computing has emerged as a distributed computing paradigm to overcome practical
scalability limits of cloud computing. The main principle of edge computing is to leverage on …

During the last decade, Cloud computing has efficiently exploited the economy of scale by
providing low cost computational and storage resources over the Internet, eventually leading …

IoT paradigm exploits the Cloud Computing platform to extend its scope and service
provisioning capabilities. However, due to the location of the underlying IoT devices which is …

The advancements in the use of Internet of Things (IoT) devices is increasing continuously
and generating huge amounts of data in a fast manner. Cloud computing is an important …

Cloud computing revolutionized the information technology (IT) industry by offering dynamic
and infinite scaling, on-demand resources and utility-oriented usage. However, recent …