Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

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 …

Multi-access edge computing (MEC) is an emerging ecosystem, which aims at converging
telecommunication and IT services, providing a cloud computing platform at the edge of the …

Technological evolution of mobile user equipment (TIEs), such as smartphones or laptops,
goes hand-in-hand with evolution of new mobile applications. However, running …

With the rapid increase in the development of the Internet of Things and 5G networks in the
smart city context, a large amount of data (ie, big data) is expected to be generated, resulting …

A novel paradigm that changes the scene for the modern communication and computation
systems is the Edge Computing. It is not a coincidence that terms like Mobile Cloud …

A steady increase in Internet-of-Things (IoT) applications needing large-scale computation
and long-term storage has lead to an overreliance on cloud computing. The resulting …

Mobile edge clouds (MECs) bring the benefits of the cloud closer to the user, by installing
small cloud infrastructures at the network edge. This enables a new breed of real-time …

Major interest is currently given to the integration of clusters of virtualization servers, also
referred to ascloudlets' oredge clouds', into the access network to allow higher performance …

Edge computing is a (r) evolutionary extension of traditional cloud computing. It expands
central cloud infrastructure with execution environments close to the users in terms of …