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 …

With the rapid development of the Internet of Things (IoT) and communication technology,
Deep Neural Network (DNN) applications like computer vision, can now be widely used in …

Abstract In the Industry 4.0 era, Digital Twins (DTs) serve as virtual representations of
physical objects and intermediaries between the physical world and the digital realm. DTs …

In this paper, we describe a novel Privacy Preserving Biometric Authentication (PPBA)
system designed for Mobile Edge Computing (MEC) and multimodal biometrics. We focus …

The proliferation of the Internet of Things (IoT) devices and advances in their computing
capabilities give an impetus to the Edge Computing (EC) paradigm that can facilitate …

For the multi-resource fair allocation problem in cloud–edge collaborative computing
systems, we propose a mechanism called dominant resource fairness in the cloud–edge …

The dramatic increase in the volume of users and services makes scheduling network
resources for smart grids a key challenge. Network slicing is an important technology to …

Retrieval augmentation enhances performance of traditional language models by
incorporating additional context. However, the computational demands for retrieval …

Application workloads are used for system analysis, design, optimization, and evaluation. As
systems and their applications evolve, new workloads are required to reflect their …

The development of the Digital Twin (DT) approach is tilting research from initial approaches
that aim at promoting early adoption to sophisticated attempts to develop, deploy, and …