Plugging Machine Learning into Mobile Cloud/Edge Computing

The central role of the Internet in modern society creates challenges of efficiency, flexibility, and security, especially as usage intensifies due to proliferation of mobile devices and the Internet of Things (IoT). Wireless network-based technologies such as Mobile Cloud Computing (MCC) and Mobile Edge Computing (MEC), introduce new challenges. In particular, shifting locations and hardware constraints often lead to unsatisfactory network security and undesirable transmission delay/cost. In the proposed project, we attempt to utilize machine learning techniques to solve two challenging problems in mobile cloud/edge computing: intrusion detection in mobile cloud computing and resource allocation in mobile edge computing.

Faculty Supervisor:

Qiang Ye

Student:

Partner:

Ericsson Canada Inc (Quebec)

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Dalhousie University

Program: