Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

In recent times, the Internet of Things (IoT) applications, including smart transportation, smart
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …

Quantum computing (QC) is an emerging paradigm with the potential to offer significant
computational advantage over conventional classical computing by exploiting quantum …

In the era of Industry 4.0, the Internet-of-Things (IoT) performs the driving position analogous
to the initial industrial metamorphosis. IoT affords the potential to couple machine-to …

Cloud computing plays a critical role in modern society and enables a range of applications
from infrastructure to social media. Such system must cope with varying load and evolving …

The development of cloud infrastructures inspires the emergence of cloud-native computing.
As the most promising architecture for deploying microservices, serverless computing has …

Screen content, which is often computer-generated, has many characteristics distinctly
different from conventional camera-captured natural scene content. Such characteristic …

Resource scheduling becomes the prominent issue in cloud computing due to rapid growth
of on demand request and heterogeneous nature of cloud resources. Cloud provides …

Born from a need for a pure “pay-per-use” model and highly scalable platform, the
“Serverless” paradigm emerged and has the potential to become a dominant way of building …