Recent telecommunication paradigms, such as big data, Internet of Things (IoT), ubiquitous
edge computing (UEC), and machine learning, are encountering with a tremendous number …

The proliferation of innovative mobile services such as augmented reality, networked
gaming, and autonomous driving has spurred a growing need for low-latency access to …

In today's era of Internet of Things (IoT), efficient and real-time processing of massive data
generated by IoT device has become the primary issue for traditional cloud computing …

With proliferation of smart phones and an increasing number of services provisioned by
clouds, it is commonplace for users to request cloud services from their mobile devices …

In the near future, the number of Internet connected objects is expected to be between 26-50
billion devices. This figure is expected to grow even further due to the production of …

Nowadays, billions of Internet-of-Things devices generate various types of delay-sensitive
tasks to process within a limited time frame. By processing the tasks at the network edge …

The cloud-assisted mobile edge computing system is a critical architecture to process
computation-intensive and delay-sensitive mobile applications in close proximity to mobile …

The number of devices connected to the Internet of Things (IoT) is growing at an enormous
rate globally. In the next generation networks, distributed fog computing deployments at the …

Pushing the cloud frontier to the network edge close to mobile users has attracted
tremendous interest not only from cloud operators but also from network service providers. In …

Remote clouds are gradually unable to achieve ultra-low latency to meet the requirements of
mobile users because of the intolerable long distance between remote clouds and mobile …