With the increasing use of the Internet of Things (IoT) in various fields and the need to
process and store huge volumes of generated data, Fog computing was introduced to …

Data stream processing (DSP) has emerged over the years as the reference paradigm for
the analysis of continuous and fast information flows, which often have to be processed with …

Fuzzy complex event processing-based decision-making systems have received
considerable research interests recently. In particular, a well-managed operator distribution …

Edge computing is booming as a promising paradigm to extend service provisioning from
the centralized cloud to the network edge. Benefit from the development of serverless …

With rapid developments of the Internet of Things (IoT) applications in recent years, their use
to facilitate day-to-day activities in various domains for enhancing the quality of human life …

The fog-computing paradigm complements cloud computing to support the deployment and
execution of latency-sensitive applications at the network edge by offering enhanced …

With the increasing number of Internet of Things (IoT) devices, massive amounts of raw data
is being generated. The latency, cost, and other challenges in cloud-based IoT data …

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 …

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 …

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 …