With the development and expansion of the Internet of Things, computing at the edge is
becoming increasingly important, especially for applications where real-time response is …

Edge technology aims to bring cloud resources (specifically, the computation, storage, and
network) to the closed proximity of the edge devices, ie, smart devices where the data are …

Edge data analytics reduces the volume of data that needs to be sent to the cloud or other
available resources for processing. It facilitates with avoidance of an additional processing …

The volume of edge data has reached ZB level, placing enormous strain on the core network
bandwidth due to the rapid development of contemporary technology and the quick …

Edge computing, artificial intelligence (AI), and machine learning (ML) concepts have
become increasingly prevalent in Internet of Things (IoT) applications. As the number of IoT …

The 4th Edge Computing Workshop (doors 2024) held in Zhytomyr, Ukraine, aimed to bring
together researchers to share advances and applications in edge computing, a critical …

The devices that are connected all time usually withdraw benefits from cloud. IoT
manufacturers however had started discovering benefits of on-device analytics in real time …

Driven by the rapid development of the Internet, the Internet of Things and mobile devices
are rapidly updated, generating a large amount of data all the time. The traditional …

Traditionally, industrial and IoT data analytics applications run in the cloud, leveraging its
power regarding big data processing capabilities. With edge computing, opportunities for …

Edge AI is emerging and evolving fast to be a promising and potential paradigm for
envisaging and implementing scores of real-time and intelligent applications and services …