Fog Networks and the Internet of Things

开始时间: 04/22/2022 持续时间: Unknown

所在平台: CourseraArchive

课程类别: 计算机科学

大学或机构: Princeton University(普林斯顿大学)

授课老师: Mung Chiang


课程评论: 1 个评论

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Pushing computation, control and storage into the “cloud” has been a key trend in networking in the past decade. The cloud is now “descending” to the network edge and often diffused among the client devices in both mobile and wireline networks. The cloud is becoming the “fog.” Empowered by the latest chips, radios, and sensors, each client device today is powerful in computation, in storage, in sensing and in communication. Yet client devices are still limited in battery power, global view of the network, and mobility support. Most interestingly, the collection of many clients in a crowd presents a highly distributed, under-organized, and possibly dense network.

Fog Networking isan architecture that will also support the Internet of Things, IoT, such as the “connected wearables.” Bold, new user interfaces are getting close to affordable price points for the mass, begging questions on the “architectural choices for the glasses and watches,” from naming to billing, and from session management to resource optimization. Fog Networking leverages past experience in sensor networks, P2P and MANET research, and incorporates the latest advances in devices, network systems, and data science to reshape the “balance of power” in the ecosystem of computing and networking. 


  1. From Cloud to Fog
  2. Client-side measurement
  3. Client-side control and configuration
  4. Edge analytics and stream mining
  5. Edge resource pooling
  6. Edge caching and distributed data center
  7. Security and privacy in Fog
  8. Consumer and wearable IoT
  9. Industrial and building IoT
  10. Connected cars in IoT
  11. Smart grids in IoT
  12. Healthcare monitoring in IoT 



MRsise 2017-01-18 10:33 0 票支持; 0 票反对



This course teaches the fundamentals of Fog Networking, the network architecture that uses one or a collaborative multitude of end-user clients or near-user edge devices to carry out storage, communication, computation, and control in a network. It also teaches the key results in the design of the Internet of Things, including consumer and industrial applications.