Edge computing has emerged as a promising paradigm for addressing the challenges of
latency, bandwidth, and energy consumption in the era of big data and the intelligent …

Edge Computing (EC) has been evolving towards harvesting latent yet underutilized
computational resources of the Extreme Edge Devices (EEDs), such as autonomous …

The emerging paradigm of edge computing envisions to overcome the shortcomings of
cloud-centric Internet of Things (IoT) by providing data processing and storage capabilities …

In the past decade, Internet of Things (IoT) technology has been widely used in various
applications in daily life. Currently, IoT applications primarily depend on powerful cloud data …

Many Internet-of-Things (IoT) applications rely on timely and reliable processing of data
collected from embedded sensing devices. To achieve timely response, computing tasks are …

As deep learning, virtual reality, and other technologies become mature, real-time data
processing applications running on intelligent terminals are emerging endlessly; meanwhile …

The increasing demand for automation and instant solution leads the technological world
towards massive applications such as the Internet of drones, Autonomous Vehicles (AVs) …

Driven by the vision of the Internet of Things (IoT), there has been a dramatic shift in mobile
computing in recent years from centralized mobile cloud computing (MCC) to mobile edge …

Many different technologies fostering and supporting distributed and decentralized
computing scenarios emerged recently. Edge computing provides the necessary on …

Rapid growth of Internet of Things (IoT), and other intelligent devices, introduced different
applications which offer real-time latency features; however, it is difficult to handle the large …