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 …

Recent advancements in Internet of Things (IoT) technology have driven massive amounts
of raw data. Due to the hardware limitations of the constraint IoT environments, we cannot …

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 …

Internets of Things (IoT) deployments generate large quantities of data that need to be
processed and analyzed in real time. Current IoT systems do not enable low-latency and …

Today, relevant data are typically delivered to cloud-based servers for storing and analysis
in order to extract key features and enable enhanced applications beyond the basic …

In this article, we propose a comprehensive multilayer (IoT-device, edge, fog, and cloud)
streaming analytics platform with two-tier fog layer, which comprises streaming and analytics …

Healthcare data streams originate from various sensors and Internet of Things (IoT) devices
deployed in medical equipment and healthcare facilities as well as worn by patients. These …

Abstract The “New Landscapes of the Data Stream Processing in the era of Fog Computing”
special issue aims to present new research works on topics related to recent advances in …

Abstract The Internet of Things (IoT) has developed infrastructures and applications that
generate large amounts of data. These data are usually yielded as streams, characterized …

This chapter describes how traditionally, Cloud Computing has been used for processing
Internet of Things (IoT) data. This works fine for the analytical and batch processing jobs. But …