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 trend of adopting Internet of Things (IoT) in healthcare, smart cities, Industry 4.0, and so
on is increasing by means of cloud computing, which provides on-demand storage and …

Fifth-Generation (5G) mobile cellular networks provide a promising platform for new,
innovative and diverse IoT applications, such as ultra-reliable and low latency …

Edge and Fog computing paradigms overcome the limitations of cloud-centric execution for
different latency-sensitive Internet of Things (IoT) applications by offering computing …

Edge/Fog computing is a novel computing paradigm that provides resource-limited Internet
of Things (IoT) devices with scalable computing and storage resources. Compared to cloud …

IoT systems are becoming an essential part of our environment. Smart cities, smart
manufacturing, augmented reality, and self-driving cars are just some examples of the wide …

The continuous increase of IoT applications leads to a vast amount of data that needs to be
transmitted, stored, and processed. Many IoT applications rely on the Cloud infrastructure to …

Traditional auto-scaling approaches are conceived as reactive automations, typically
triggered when predefined thresholds are breached by resource consumption metrics …

The motivation of this study is to analyze the impact of corporate culture, management
commitment, and Human resources management on operational performance and the …

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 …