One of the most important features of edge computing systems or applications is that they
are strongly related to their scenarios. For example, in smart factory scenarios, the edge is …

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

Edge computing is a paradigm that brings computation closer to the data source and can
solve many challenges with IoT devices and their development. For applications with critical …

Complementing cloud computing, edge computing can provide better services for many IoT
applications that have increasing user demands of bandwidth efficiency and response time …

Customizing and deploying an edge system is a time-consuming and complex task,
considering the hardware heterogeneity, third-party software compatibility, diverse …

Internet of Things (IoT) applications have seen a phenomenal growth with estimates of
growing to a 25 Billion dollar industry by 2020. With the scale of IoT applications growing …

Use a step-by-step process to create and deploy your first Azure IoT Edge solution. Modern
day developers and architects in today's cloud-focused world must understand when it …

Now that we have built a good foundational understanding of Azure IoT Edge solutions,
understanding how to automate the build and deployment processes for those solutions is …

Edge computing is an emerging technology, which offers manifold performance
improvements for applications with low-latency and high-bandwidth requirements. In order …

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 …