Fog computing is a paradigm that brings computational resources and services to the
network edge in the vicinity of user devices, lowering latency and connecting with cloud …

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 …

The potential upsides of fog computing are undeniable, including better near-real-time
response, reduced transmission costs and analysis for IoT, which will further have a …

Due to increase in real-time mobile applications and Industrial Internet-of-Things (IIoT)
devices, the edge computing paradigm provides a systematic and eccentric platform for real …

The anomaly detection techniques for cloud service focus on alerting the operation
engineers about the anomalous running state. However, their shortcoming of anomaly …

This work investigates the secure resource collaboration among selfish edge servers for
multi-access edge computing (MEC)-enabled VR systems in a dynamic scenario. Due to the …

Nowadays many modern and Artificial Intelligence (AI) enabled Internet of Things (IoT)
applications consist of chains connecting microservices distributed across the fog and cloud …

Virtual reality (VR) is one of the applications with the most strict requirements in the
performance of next generation networks, since it requires both high throughput, low delay …

Provisioning services for Internet of Things (IoT) devices leads to several challenges:
heterogeneity of IoT devices, varying Quality of Services requirements, and increasing …

With the recent development in the Internet of Things (IoT), big data, and machine learning,
the number of services has dramatically increased. These services are heterogeneous in …