1st degree and Bachelor-level of the Bologna process in Electronic And Communications Engineering (Ingegneria Elettronica E Delle Comunicazioni) - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Meccanica (Mechanical Engineering) - Torino 1st degree and Bachelor-level of the Bologna process in Design E Comunicazione - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Informatica (Computer Engineering) - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Aerospaziale - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Biomedica - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Civile - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Energetica - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Meccanica - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Per L'Ambiente E Il Territorio - Torino 1st degree and Bachelor-level of the Bologna process in Matematica Per L'Ingegneria - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Elettronica - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Informatica - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Fisica - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Del Cinema E Dei Mezzi Di Comunicazione - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Gestionale - Torino 1st degree and Bachelor-level of the Bologna process in Ingegneria Gestionale - Torino
The class of Open and Virtualized Networks, OVN in the following, aims at giving the fundamental skills for the novel professional operators known as Network Architects. These are requested to manage networks from the physical layer up to the network lyer. To this purpose, network elements and subsystems are virtualized, relying on physical and operational mathematical/statistical models. Virtualizations are summarized as common APIs and data structures to enabling an optimal orchestration through a network operating system. The proposed analyzes will enable an open network management based on common APIs and data structures. The teaching method will follow an application-oriented introduction of concepts. To this purpose, students will be required to develop Phyton module performing simple operations, exploiting the open source library GNPy of the Telecom Infra Project. Thus, students can operate in a license-free development environment, using their own laptop for virtual lab experiments.
All the theoretical concepts will be proposed in the framework of a backbone transparent optical network supporting the deployment of different services including 5G low-latency connections and high-capacity data-center interconnections, as well as contents delivery services. After proposing an overview of the framework, the course will propose the fundamental concepts of the optical network elements (transceivers, fiber propagation, amplifiers and switches) with the purpose to enable the use of the APIs virtualizing their operational modes. Then, the concepts of network planning, management and control will be introduced, starting from application examples. Theoretical lectures will be integrated by exercises, on the following topics
• Introduction to Python. A practical introduction to the basics of Python programming and the Object-Oriented paradigm.
• Introduction to the GNPy. Introduction to the Python-based open source GNPy software (https://github.com/Telecominfraproject/oopt-gnpy). The students will learn how the software provides an abstraction of the single physical elements - the building blocks - of an optical network.
• The Optical Network Abstraction. Using the building blocks given by GNPy the students will operate on the virtual models of the physical layer of a complete optical network as a weighted graph.
• Network operations. The students will learn how to route data traffic through an optical network.
• Deployment of services in the network. The student will optimize the data traffic through your optical network to support the requirements of services such as best Quality-of-Service or low-latency 5G-based services.
The course of Open and Virtualized Networks, OVN in the following, aims at giving the fundamental skills on the basics of digital communications and networking enabling the modern society that is based on the Internet connection, so are fundamental concepts exploited by any engineering filed. Then, OVN will move on towards the introduction of virtualized management of modern networks based on the physical layer digital twin allowing open infrastructure sharing based on software defined networking.
The first part of the course will convey the needed background on digital communications and networking to enable full understanding of all concepts conveyed by the course to all students independently of the specific engineering fields. To enable a full understanding of these concepts hands-on exercise based on Python code will be part of the course.
The second part of the course will target the concept of virtualization of the physical layer in networks, specifically focusing on the optical network infrastructure that is the medium carrying all Internet data, except the few hundred meters covered by wireless access provided by the cellular networks. Within this part of the class the students will be required to develop a Python “toy” digital twin of an optical network to understand the fundamentals in network designing and managing down to the physical layer.
The third part of the course will be focused on the evolution of wireless cellular networking toward 5G and the use of the artificial intelligence in networking will be briefly summarized.
The teaching method will follow an application-oriented introduction of concepts. To this purpose, students will be required to use provided Python code to practically solve assignments (firs course part) and develop Phyton module to build and use a simple network digital twin. Thus, students can operate in a license-free development environment, using their own laptop for virtual lab experiments.
The concepts of network planning, management and control will be introduced as application examples
Theoretical lectures will be integrated by exercises performed as virtual laboratories, as described in the following.
NOTE: both theoretical lectures and practical sw exercise will be live streamed as virtula classroom besides standard in-person lectures. And the recorded lectures will be available eon the portal.
o Python language and GNPy library
o Optical networking principles and challenges: telecom network overview, traffic engineering vs network engineering vs network design, Wavelength Division Multiplexing (WDM), WDM evolution to flexi-grid spectrum management.
o Abstraction of network elements in a backbone networks: optical fiber, optical transceivers, optical amplifiers, switching elements
o Heuristic (Optical Core) Network design methodologies
o Logical topology design by heuristic approaches: greedy, local search.
o Virtualization of the data transport in a backbone network
o Implementation of simple network operations on the virtualized physical layer
o Modeling constraints and computing solutions to deploy different services. Perform physical-layer-aware
- Fundamentals of digital communications and networking
- Python language and networking library
- GitHub-based software development
- Network management based of the infrastructure digital twin
o Abstraction of optical network elements
o Software-defined-networking principles
- SW Abstraction of network elements in a disaggregated optical networks
- SW Abstraction of data transport in open optical networks
- 5G networking principles: hardware and network architecture.
- Artificial intelligence principles and networking explotation
This class needs fundamental concepts of signal analysis, digital transmission and data networking as well as the fundamental skills in computer programming.
This class does not need any specific backgrounds except the ones given by the fundamental mathematical, physics and programming courses followed by all students in the first two years in engineering. All the concepts regarding fundamental of digital transmission and networking will be presented to enable all students to profitable follow the course irregardless of the specific engineering fields.
• Introduction to Python
• Multilayer optical backbone networks
• Data transport virtualization: Transceivers, WDM, fiber propagation and amplification.
• Controlling, planning and managing a WDM network
• Service deployment
- Class introduction
- Introduction to Python and Github
- Summary of fundamental concepts of the digital and connected world
o From the analog world to the digital signals: the analog to digital conversion
Python lab using available code
o How to properly weight the information: the fundamental of information theory
o The transport of digital data on the electromagnetic field: the digital modulation
Python lab using available code
o The Internet: historical recap, architecture and protocols
- Optical transport network
o Transponder, Optical line systems, Switching nodes
o Network abstraction as a weigthed graph: the network digital twin
o Traffic deployment
o Python development of a “toy” optical network digital twin
- Mobile networks: historical recap and architecture
- 5G networking: hw and network architecture
- Using the artificial intelligence in
1) All lectures are based on powerpoint presentations and besides in-person teaching will be also live streamed as virtual classroom. The recorded virtual classrooms will be available on the portal.
2) All topics will be applied in hands-on virtual laboratories that the students will be required to develop on their own laptop exploiting the opensource software Pycharm and GitHub repository.
Teaching method will be “hands-on”, so within lectures, students will be required to their own laptop so that theoretical concept will be immediately applied in simple exercises or reviewing examples. For approximately 1/3 of the available hours, the teaching assistants will support code development and in general exercise solving.
The class will be organized as a series of concepts’ presentation and their application through python coding homework. Students will be required to operate on their own laptop and group working will be allowed.
The course is structured following a "hands-on" approach. Weekly, theoretical lectures will be alternated with virtual laboratory sessions. In virtual labs, students will be requested to summarized the learned concepts in software modules addressing the assigned homework both exploding already available code (first part) and developing original code. In virtual laboratories the students will be required to use their own laptop exploiting opensource software (Pycharm) and GitHub repository. All lectures will be recorded and available on the portal.
Studying material will be available on “portale della didattica”. Books to deepen specific topics will be suggested as well
Studying material will be available on “portale della didattica”. Books to deepen specific topics will be suggested as well, if requested.
Modalità di esame: Prova scritta (in aula); Prova orale obbligatoria; Elaborato progettuale individuale;
Exam: Written test; Compulsory oral exam; Individual project;
Student assessment will be performed reviewing the Python coding and results of homework. During the oral review of the homework, theoretical questions will be asked to students.
Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.
Exam: Written test; Compulsory oral exam; Individual project;
The exam is subdivided in two compulsory phases as described in the following.
1. Written exam (1 hour). This part of the exam will be based on answering to few (5-7) open questions with given max space for answering. The questions will be mostly focused on the first part and answers will require the description of general concept w/o the need to memorize details as for instance mathematical formulas. This exam phase will give up to 15 points.
2. Power point (or equivalent sw) presentation (15 min). The students will be required to prepare and present in maximum 15 minutes the outcomes of Python labs including the sw structure and main results. Few clarification questions may follow. This exam phase will give up to 15 points.
Extra 3 premiality points will be assigned to the students regularly and properly updating lab assignments monitored by the GitHub classroom.
NOTE on the exam rules
The students that followed the coursein previous academic years (19/20 and 20/21) will have the option to give the exam following the old rules base on presentation and oral or to opt for the new rules implemented starting on AY 22/23.
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.