Advanced Experimental Projects on Connected Systems

Year:
2nd year
Semester:
S1
Programme main editor:
(I2CAT)
Onsite in:
CNAM
Remote:
ECTS range:
6 ETCS

Professors

img
Professors
Stefano Secci
CNAM
img
Professors
Yacine Benchaib
CGE
img
Professors
David Rincón
UPC

Prerequisites:

IP routing and addressing.

SDN and NFV architectures.

Network security protocols.

Wireless mobile networks.

Pedagogical objectives:

Experiment and acquire novel network technologies using testbed and emulation platforms, technologies recently adopted in enterprise, data-center, personal, deployable and Internet network architectures.

Evaluation modalities:

Continuous reporting, oral exams and report evaluation.

Description:

The proposed projects consist in the design and experimentation of a software network application, in the emulation of an advanced realistic novel network setting, in the deployment of an experimental network platform. The projects are an opportunity for the participants to acquire team working experience, project management, technical report writing, oral presentation, and to acquire valuable experience on novel network technologies.

Every project is advised by a responsible and the evaluation is individualized by the evaluation committee. The participants can form groups and directly contact the course response and the tutors of the projects they are interested in, based on a published list.

The projects can cover the following subjects:

  • Connected robotics and automated industrial systems.
  • Software networks and virtualization: NFV (Network Functions Virtualization) protocols and architectures, Cloud IaaS (Infrastructure as a Service), SDN (Software Defined Networking), their orchestration and platforms.
  • IoT (Internet of Things) and embedded systems, protocols, orchestration and their network and cloud integration.
  • Network security: protocols, anomaly detection, attack emulation, evaluation of attack mitigation strategies.

Wireless and mobile networks: WiFi and its evolutions, cellular networks, sensor networks and protocols.

Required teaching material

Teaching volume:
lessons:
3 hours
Exercices:
12 hours
Supervised lab:
6 hours
Project:
36 hours

Devices:

  • Laboratory-Based Course Structure
  • Open-Source Software Requirements

    Access to computing facilities when personal laptops or PCs are not sufficient.