To support the large and various applications generated by the Internet of Things (IoT), Fog
Computing was introduced to complement the Cloud Computing and offer Cloud-like …

With the advent of Internet of Things (IoT) connecting billions of mobile and stationary
devices to serve real-time applications, cloud computing paradigms face some significant …

Next generation communication networks are expected to accommodate a high number of
new and resource-voracious applications that can be offered to a large range of end users …

Recently, the concept of cloud computing has been extended towards the network edge.
Devices near the network edge, called fog nodes, offer computing capabilities with low …

Online anomaly detection is a key challenge for industrial internet of things (IIoT)
applications, as anomalies may occur in data streams from sensors and cause losses or …

The proliferation of Internet-of-Things (IoT) devices is rapidly increasing the demands for
efficient processing of low latency stream data generated close to the edge of the network …

In this paper, the current challenges faced by China′ s power grid are analyzed, and the
corresponding developmental background and key techniques of edge computing are …

The Internet of Everything (IoE)-based smart services are becoming more prominent as a
result of the growing demands placed on wireless networks. Despite 5G having the ability to …

In this paper, we address the problem of adaptive scheduling of data stream processing and
analytics (DSPA) applications in a shared edge fog cloud (EFC) continuum with response …

Elastic data stream processing enables applications to query and analyze streams of real
time data. This is commonly facilitated by processing the flow of the data streams using a …