Resources Allocation in Mobile Edge Computing
A.Y. 2024/2025
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
Lead instructor: Christian Quadri
The goals of this course are:
(i) to provide an overview of the resources allocation problem in MEC, based on standards developed by ETSI and 3GPP 5G;
(ii) to provide methods for allocating and managing resources in MEC;
(iii) to provide an overview of the migration techniques of VM and containers;
(iv) to present use cases in the field of automotive and entertainment.
(i) to provide an overview of the resources allocation problem in MEC, based on standards developed by ETSI and 3GPP 5G;
(ii) to provide methods for allocating and managing resources in MEC;
(iii) to provide an overview of the migration techniques of VM and containers;
(iv) to present use cases in the field of automotive and entertainment.
Undefined
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol
Deadlines
The course enrolment deadline is usually the 27th day of the month prior to the start date.
How to enrol
- Access enrolment on PhD courses online service using your University login details
- Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)
Ignore the option "Exam session date” that appears during the enrolment procedure.
Contacts
For help please contact [email protected]
Professor(s)
Reception:
By appointment via email
Office (via Celoria 18, 7th floor, room 7019)