In recent decades, data aggregation and correlation have emerged as a significant and
challenging area of research for finding useful relationships between different features of …

Edge computing brings computing and storage resources closer to (mobile) end users and
data sources, thus bypassing expensive and slow links to distant cloud computing …

Summary The Internet of things (IoT) is emerging as the next big wave of digital presence for
billions of devices on the Internet. Smart cities are a practical manifestation of IoT, with the …

When processing IoT data on a large scale, the cloud is no longer sufficient and it has been
proposed to move parts of the computation closer to the IoT devices-the so-called fog …

Focusing on comprehensive networking, the Industrial Internet-of-Things (IIoT) facilitates
efficiency and robustness in factory operations. Various intelligent sensors play a central …

Internet of Things (IoT) domains generate large volumes of high-velocity event streams from
sensors, which need to be analyzed with low latency to drive decisions. Complex Event …

Abstract In Internet of Things (IoT) data processing, cloud computing alone does not suffice
due to latency constraints, bandwidth limitations, and privacy concerns. By introducing …

One of the crucial research issues in an IoT-based system is how to manage the huge
amount of data transmitted by the potentially large number of sensors that form the system …

Big data platforms have predominantly focused on the volume aspects of large-scale data
management. The growing pervasiveness of Internet of Things (IoT) applications, along with …

Stream processing applications handle unbounded and continuous flows of data items
which are generated from multiple geographically distributed sources. Two approaches are …