Edge computing is a distributed computing paradigm such that client data are processed at
the periphery of the network, as close as possible to the originating source. Since the 21st …

Fog computing (FC) is a scalable and responsive computing paradigm that uses distributed
computing resources to provide efficient and localized data processing solutions to …

Multi-Access Edge Computing (MEC) is a promising paradigm that providing cloud-like
service for handling the high-complexity and latency-sensitive applications on user …

Edge computing is a distributed architecture that features decentralized processing of data
near the source/devices, where data are being generated. These devices are known as …

With the exponential growth of large data produced by IoT applications and the need for low-
cost computational resources, new paradigms such as volunteer cloud computing (VCC) …

In the early days of digital transformation, the automation, scalability, and availability of cloud
computing made a big difference for business. Nonetheless, significant concerns have been …

Edge computing has emerged in recent years to reduce latency, conserve bandwidth, and
enhance privacy for applications. As more edge computing applications are being deployed …

Volunteer Edge Computing (VEC) is a promising solution for addressing the challenge of
high round-trip latency in traditional cloud computing systems. Leveraging distributed …

Volunteer Edge-Cloud (VEC) computing has a significant potential to support scientific
workflows in user communities contributing volunteer edge nodes. However, managing …

The unprecedented growth in edge resources (eg, scientific instruments, edge servers,
sensors) and related data sources has caused a data deluge in scientific application …