Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …

Current computing techniques using the cloud as a centralised server will become
untenable as billions of devices get connected to the Internet. This raises the need for fog …

Contemporary solutions for cloud-supported, edge-data analytics mostly apply analytics
techniques in a rigid bottom-up approach, regardless of the data's origin. Typically, data are …

Location estimation technology under the wireless environment has become a vital
technology in the field of mobile edge computing. Especially, under the mobile edge of …

Nowadays, the concept of “Everything is connected to Everything” has spread to reach
increasingly diverse scenarios, due to the benefits of constantly being able to know, in real …

Many edge computing systems rely on virtual machines (VMs) to deliver their services. It is
challenging, however, to deploy the virtualization mechanisms on edge computing hardware …

Edge AI and Human Augmentation are two major technology trends, driven by recent
advancements in edge computing, IoT, and AI accelerators. As humans, things, and AI …

The contemporary view of the Smart City is very much static and infrastructurecentric,
focusing on installation and subsequent management of Edge devices and analytics of data …

The serverless paradigm has been rapidly adopted by developers of cloud-native
applications, mainly because it relieves them from the burden of provisioning, scaling and …

Nowadays, a large amount of services are deployed on the edge of the network from the
cloud since processing data at the edge can reduce response time and lower bandwidth …