Course Program
 
 
 
With the proliferation of Internet of Things (IoT) and the burgeoning of 4G/5G network, we have seen the dawning of the IoE (Internet of Everything) era. Huge volumes of data generated by things are immersed in our daily life, and hundreds of applications will be deployed at the edge to consume these data.

Cloud computing as a big data processing platform is not efficient enough to support these applications:
Available computing capacity in the centralized cloud cannot keep up with the explosive computational needs of massive data being generated
Users get frustrated with longer latency caused by the data movement between the edge and the cloud
Data owners in the edge have legitimate privacy and security concerns
Edge devices have energy constraints.
These issues in the centralized big data processing era have helped launch a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Leveraging the power of cloud computing, edge computing has the potential to address the limitation of computing capability, the concerns of response time requirement, bandwidth cost saving, data safety and privacy, as well as battery life constraints.
 
What you will learn:
Understand Edge Computing and the different ways Edge Computing can deliver value
Examine how Edge Computing is used in real-world applications
Major technical and research challenges for edge computing
Security challenges brought by Edge Computing
Basic tools and software applications that are in use by providers and developers of edge computing resources