Abstract The Internet of Things (IoT) has become a hot research topic in recent years to
extend Internet connectivity to physical devices in our day-to-day activities. The high …

Machine learning typically relies on the assumption that training and testing distributions are
identical and that data is centrally stored for training and testing. However, in real-world …

Abstract Proliferation of Industrial Internet has dramatically changed the way we live and
work. It brings convenience to our society and sometimes requires real-time processing of …

The cloud of things (CloudIoT) represents a general system of supporting infrastructure for
storing and processing information gathered from smart objects and their communications …

Recent advancements in distributed systems have enabled deploying low-latency and
highly resilient edge applications close to the IoT domain at the edge of the network. The …

Engineering Internet of Things (IoT) systems is a challenging task partly due to the
dynamicity and uncertainty of the environment including the involvement of the human in the …

Due to high and unpredictable connection delays, privacy gaps, and traffic load of networks
connecting cloud computing to end users in many of the Internet of Things (IoT)-based …

Recent advancements in distributed systems have enabled deploying low-latency edge
applications (ie, IoT applications) in proximity to the end-users, respectively, in edge …

Competitiveness in industry requires smooth, efficient, and high-quality operation. For some
industrial applications or process control and monitoring applications, it is necessary to …

In the past few years, researchers from academia and industry stakeholders suggest adding
more computational resources (ie, storage, networking, and processing) closer to the end …