Mobile Edge Computing

A.Y. 2020/2021
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
4
ECTS
20
Overall hours
Lesson period
January 2021
Language
English
Lead instructor: Claudio Agostino Ardagna
Mobile Edge Computing (MEC) has recently become a new computing paradigm with proximate access and also is a key technology in SG network. In the MEC paradigm, a number of small scales edge server are placed at the edge of the network. Mobile users can connect these edge servers. The main idea of MEC is to deploy edge server son the edge of the network close to the user so that users can use the computing, storage andother resources provided by the edge servers. Compared with traditional computing, the network traffic and network transmission time of MEC architecture can be significantly reduced because the edge servers are closer to mobile users. Hence, MEC has been a hot research topic and many high quality papers have been published. MEC also is important topic in many famous conferences. In this course, we first give a brief introduction about the concept,architecture, SG network, and then focus on the latest researches and industrial application of MEC. The course will discuss the following aspects: · What's MEC · Cloudlet and Fog Computing · Computation Off loading in MEC · Service Function Chain in MEC · Service Migration and Coordination in MEC · Resource Scheduling and Management in MEC · Edge AI · MEC for SG Application · Vehicular Edge Computing and Application · MEC for Industrial Internet Application · MEC for Smart City.
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

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  2. 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

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