Abstract Offloading Internet of Things (IoT) tasks to the cloud for further processing might not
always lead to an optimal execution time, particularly in situations such as resource …

With the rapid development of the Internet of Things (IoT), the number of edge devices grows
exponentially. Recently, Edge computing and edge cloud data center have been proposed …

The Internet of Things is a flexible, emerging technology and an innovative development of
the environmental trend. It is a large and complex network of devices in which fog computing …

In clouds, placement of on-demand applications on heterogeneous machines, has turned
out to be a crucial research problem, particularly, in terms of performance and energy …

In order to meet the demand for efficient computing services in big data scenarios, a cloud
edge collaborative computing allocation strategy based on deep reinforcement learning by …

Cloud computing provides online services to customers using pay as you go model. The
Cloud computing enables customers to outsource the large and complex tasks to the cloud …

Dynamic consolidation of virtual machines (VMs) is presented as a significant technique of
energy conservation in cloud environments, which can eliminate the hotspot of overloaded …

For the cloud computing based on software-defined networks (SDNs), a larger amount of
data is collected to cloud for analysis, which will cause the larger amount of redundancy …

Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by
ensuring and supporting the Quality of Service (QoS) of IoT applications. However, cloud …

Data-driven industrial manufacturing services are proliferating. They use large amounts of
data generated from Industrial-Internet-of-Things (IIoT) devices for intelligent services to end …