Hybrid Human-Artificial Intelligence Enabled Edge Caching Based on Interest Evolution

2021 ◽  
pp. 107-122
Author(s):  
Zhidu Li ◽  
Fuxiang Li ◽  
Dapeng Wu ◽  
Honggang Wang ◽  
Ruyan Wang
2021 ◽  
pp. 23-36
Author(s):  
Yan Zhang

AbstractEdge caching is a key part of mobile edge computing. It not only can support the necessary task data for edge computing, but also enables powerful Internet of Things applications with massive amounts of data and various types of information in access networks. In this chapter, we present the architecture of the edge caching mechanism and introduce metrics for evaluating caching performance. We then discuss key issues in caching topology design, caching data scheduling, as well as caching server cooperation and present a case study of artificial intelligence–empowered edge caching.


Author(s):  
David L. Poole ◽  
Alan K. Mackworth

Sign in / Sign up

Export Citation Format

Share Document