IEEE Introduction to Edge Computing
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.
In this dynamic program from IEEE you’ll learn what edge computing is, and then explore several practical applications, ranging from cloud offloading to smart home and city, as well as collaborative edge. You will also discover several challenges and opportunities in the field of edge computing.
This course program includes the following courses:
- Applications Scenarios of Edge Computing
- Designing Security Solutions for Edge, Cloud, and IoT
- Overview of Edge Computing
- Research Challenges in Edge Computing
- Tools and Software for Edge Computing Applications
Audience: This program is designed for organizations investing heavily in edge. Online and on-demand, train your entire technical team to support this technology.
Publication Year: 2018