Cloud computing is the big boom technology in IT industry infrastructure. Many people are
moving to cloud computing because of dynamic allocation of resources and reduction in …

Deep Neural Networks (DNNs) have become an essential and important supporting
technology for smart Internet-of-Things (IoT) systems. Due to the high computational costs of …

Compared to traditional distributed computing environments such as grids, cloud computing
provides a more cost-effective way to deploy scientific workflows. Each task of a scientific …

With the development of Internet technology, the volume of data is increasing tremendously.
To tackle with large-scale data, more and more applications choose to enlarge the storage …

Heterogeneous distributed computing environments are emerging for developing data-
intensive (big data) applications that require to access huge data files. Therefore, effective …

Currently, deep neural networks (DNNs) have achieved a great success in various
applications. Traditional deployment for DNNs in the cloud may incur a prohibitively serious …

As the devices that make up the Internet become more powerful, algorithms that orchestrate
cloud systems are on the verge of putting more responsibility for computation and storage on …

With the popularity of mobile devices, intelligent applications, eg, face recognition, intelligent
voice assistant, and gesture recognition, have been widely used in our daily lives. However …

D ynamic W orkflow S cheduling in F og C omputing (DWSFC) is an important optimisation
problem with many real-world applications. The current workflow scheduling problems only …

The convergence of edge and cloud computing shares their strengths, such as unlimited
shared storage and computing resources from cloud, low-latency data preprocessing of …