The field of edge computing has grown considerably over the past few years, with
applications in artificial intelligence and big data processing, particularly due to its powerful …

Recent years have witnessed the progressive integration between IoT (Internet of Things)
devices and the cloud server, which promotes the efficiency and interoperability of IoT …

In this paper, we present LinkLab 2.0, a completely programmable and controllable IoT
testbed with the support of edge devices and cloud infrastructures. To be more specific …

Programming a complete IoT application usually requires separated programming for
device, edge and/or cloud sides, which slows down the development process and makes …

Customizing and deploying an edge system are time-consuming and complex tasks
because of hardware heterogeneity, third-party software compatibility, diverse performance …

Sensor networks have dynamically expanded our ability to monitor and study the world.
Their presence and need keep increasing, and new hardware configurations expand the …

IoT application development usually involves separate programming at the device side and
server side. While separate programming style is sufficient for many simple applications, it is …

Artificial intelligence (AI) model inference performance in browsers is constrained, and
transmitting data to the server consumes substantial transfer time by cloud computing. In this …

Software engineers of Internet of Things (IoT) systems deal with three macro issues: how to
perceive the properties of interest through sensors (sensing facet), how to process …

IoT application development usually involves separate programming at the device side and
server side. While separate programming style is sufficient for many simple applications, it is …