Edge Intelligence (EI) is an emerging computing and communication paradigm that enables
Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as …

The deployment of edge computing infrastructure requires a careful placement of the edge
servers, with an aim to improve application latencies and reduce data transfer load in …

While it is well understood that edge computing can significantly facilitate IoT-related
applications by deploying edge servers close to IoT devices, it also faces many challenges …

The network topology formation in an Edge Infrastructure-as-a-Service (EIaaS) paradigm
must consider the placement of Edge Computational Nodes (ECNs) so as to minimize the …

The Fifth Generation (5G) of mobile networks offers new and advanced services with stricter
requirements. Multi-access Edge Computing (MEC) is a key technology that enables these …

In the evolution of Internet of Things and 5G networks, edge computing, as an emerging
computing paradigm, can effectively reduce the latency of accessing the cloud service and …

The popularization of smart Internet of Things (IoT) devices has facilitated the development
of fog/edge computing. However, these infrastructure-based service paradigms may fail to …

Efficient resource usage in edge computing requires clever allocation of the workload of
application components. In this paper, we show that under certain circumstances, the …

Spatio-temporal interpolation provides estimates of observations in unobserved locations
and time slots. In smart cities, interpolation helps to provide a fine-grained contextual and …

Capacitated spatial clustering, a type of unsupervised machine learning method, is often
used to tackle problems in compressing data, classification, logistic optimization and …