The paradigm of edge computing has formed an innovative scope within the domain of the
Internet of Things (IoT) through expanding the services of the cloud to the network edge to …

The Fog computing paradigm utilises distributed, heterogeneous and resource-constrained
devices at the edge of the network for efficient deployment of latency-critical and bandwidth …

Previous deep learning based state-of-the-art scene text detection methods can be roughly
classified into two categories. The first category treats scene text as a type of general objects …

User-facing services are now evolving towards the microservice architecture where a
service is built by connecting multiple microservice stages. Since the entire service is heavy …

The dramatically increasing of mobile applications make it convenient for users to complete
complex tasks on their mobile devices. However, the latency brought by unstable wireless …

Serverless computing is becoming widely adopted among cloud providers, thus making
increasingly popular the Function-as-a-Service (FaaS) programming model, where the …

With the increasing popularity of Internet of Things (IoT), edge computing has become the
key driving force to provide computing resources, storage and network services closer to the …

Fog computing paradigm has created innovation opportunities within Internet of Things (IoT)
domain by extending cloud services to the edge of the network. Due to the distributed …

Abstract The Internet of Things (IoT) is an emerging paradigm where practically every
(physical and virtual) thing will be interconnected through innovative distributed services …

As a newly emerged promising computing paradigm, Multi-access Edge Computing (MEC)
is capable of energizing massive Internet-of-Things (IoT) devices around us and novel …