Wireless network virtualization (WNV) is considered as a reliable and effective solution to
enhance the capacity and resource utilization in emerging 5G cellular wireless networks …

Both the edge and the cloud can provide computing services for mobile devices to enhance
their performance. The edge can reduce the conveying delay by providing local computing …

In traditional machine learning, the central server first collects the data owners' private data
together and then trains the model. However, people's concerns about data privacy …

As an emerging decentralized secure data management platform, blockchain has gained
much popularity recently. To maintain a canonical state of blockchain data record, proof-of …

Driven by the vision of cloud and edge computing as the 5th utility, a major challenge is the
efficient resource management and pricing taking into account incentives and preferences of …

Nowadays large-scale distributed machine learning systems have been deployed to support
various analytics and intelligence services in IT firms. To train a large dataset and derive the …

The significant growth in the number and types of tasks of heterogeneous applications in
green cloud data centers (GCDCs) dramatically increases their providers' revenue from …

Cloud computing has emerged as a very flexible service paradigm by allowing users to
require virtual machine (VM) resources on-demand and allowing cloud service providers …

Edge cloud computing is a new paradigm in which the computation and storage services of
remote cloud data centers are moved to Edge Cloud Nodes (ECNs) in network edges …

The development of smart vehicles and rich cloud services have led to the emergence of
vehicular edge computing. To perform the distributed computation tasks efficiently, Coded …