Dynamic Service Caching for Edge Computing in Intelligent Driving

To meet the network latency requirements in intelligent driving (e.g., city-wide smart parking, vehicle infotainment, and collision avoidance), more and more computing functionalities are moved from the centralized clouds to the network edges (e.g., mobile base stations, or roadside infrastructure). By doing this, the response time to drivers or in-vehicle passengers could be improved. Nevertheless, due to the limited resources of edge servers, only a small number of services could be cached at the edge. Besides, different types of services may require different types of resources (e.g., CPU, storage, network bandwidth, etc.), and the traffic demands of the end users are quite diverse. In this context, the problem of dynamically caching the services over the edge servers so as to optimize the quality of services of end users requires non-trivial system design and engineering. TO BE CONT’D

Faculty Supervisor:

Kui Wu

Student:

Partner:

The Chinese University of Hong Kong

Discipline:

Computer science

Sector:

Education

University:

University of Victoria

Program: