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Open and virtualized networks

01UEGLP, 01UEGJM, 01UEGLM, 01UEGLZ, 01UEGMC, 01UEGMN, 01UEGMO, 01UEGMQ, 01UEGNX, 01UEGOA, 01UEGOD, 01UEGPC, 01UEGPI, 01UEGPL

A.A. 2021/22

Course Language

Inglese

Course degree

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 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 Civile - 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

Course structure
Teaching Hours
Lezioni 40
Esercitazioni in laboratorio 20
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Curri Vittorio Professore Ordinario ING-INF/03 40 0 0 0 4
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
ING-INF/03 6 D - A scelta dello studente A scelta dello studente
2021/22
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 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 operating in a software-defined network environment down to the physical layer.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. 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 perfomed as virtual laboratories, as described in the following. NOTE: both theoretical lectures and practical sw exercise are fully compatible with remote online teaching.
• Knowledges 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. • Abilities 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
Knowledges - Fundemantales of digital communications and networking - Python language and networking library - GitHub-based software development - WDM optical transport - SW Abstraction of network elements in a disaggregated optical networks - SW Abstraction of data transport in open optical networks - Software-defined-networking principles - Control plane protocols and data languages (e.g., Netconf/YANG) - Network managemet operations: path computation, routing and wavelength assignment, lightpath deployement, traffic management, netwok operating system - 5G networking principles: hardware and network architecture.
This class needs fundamental concepts of signal analysis, digital transmission and data networking as well as the fundamental skills in computer programming.
This class needs fundamental concepts of signal analysis, digital transmission and data networking as well as the fundamental skills in computer programming. To support students with different background, recap letures on fundamental of elctrical communication and data networks will be provided to enable all the students to profitably follow the following lectures.
• 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 - Recap lectures on fundamental of electrical communications and data networks - Optical Transport networks Tranponder Optical line systems Switching nodes Quality of transmission - Network abstraction as a weigthed graph - Network control protocols and data structures - Network operations Routing wavelelengh assigment Traffic deployement protection&restoration - 5G networking: hw and network architecture NOTE: 1) All lectures are based on owerpoint presntation and fully compatible with remote lecturing 2) all topics will be applied in hands-on virtual laboratories that the students will be required to develop on their own laptopt exploiting opensource software (Pycharm or similar) and GitHub repository. Virtual laboraties are semless compatible with remote teaching
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, theoreretical lectures will be altenated with virtual laboratory sessions. In virtual labs, students will be requested to summarized the learned concepts in software modules addressing the assigned homework. In virtual laboratories the students will be required to use their own laptopt exploiting opensource software (Pycharm or similar) and GitHub repository. Such virtual labs are completely compatible with remote teaching. Homework discussion is the the core of the exam. All theoretical lectures will be based on powerpoint slides provided in advance to the students, enabling a teaching method fully compatible with remote teaching.
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
Modalità di esame: Prova orale obbligatoria; Elaborato progettuale individuale;
Exam: 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: Compulsory oral exam; Individual project;
The exam is an oral interview focused on discussing the homework implemenation. Students will be required to show on their own laptop the solutions of the assigments. Then, to to the students will be required to summarize these results and theoretical implications in a ppt (or equivalent) presentation. The capabilty to properly organize the presentation and to effectively summarize results (figures, tables, etc...) will be part of the evaluation. Finally, theoretical questions will be asked related to the assigments' comments to evaluate the therotical part. To pass the exam it is manadatory to finalize the assignments. In the overall evaluation, 80% of the mark (24/30) is based on the presentation of code and assignments and 20% (6/30) on the related theoretical questions. The exam structure does not foresee any difference between online and onsite exam: online, the interview and homework check are carried on in the virtual classroom by sharing the laptop monitor, while onsite the same exam structure is carried on live in a room.
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.
Modalità di esame: Prova orale obbligatoria; Elaborato progettuale individuale;
The exam is an oral interview focused on discussing the homework implemenation. Students wil be required to show on their own laptop the solutions of the assigments. Theoretical questions will be asked realted to the assigments' comments to test the therotical part. To pass the exam is manadatory to finalize the assignment. In the overall evaluation, 80% of the mark (24/30) will be based on the assignment discussion and 20% (6/30) on th erelated thoretical questions.
Exam: Compulsory oral exam; Individual project;
The exam is an oral interview focused on discussing the homework implemenation. Students will be required to show on their own laptop the solutions of the assigments. Then, to to the students will be required to summarize these results and theoretical implications in a ppt (or equivalent) presentation. The capabilty to properly organize the presentation and to effectively summarize results (figures, tables, etc...) will be part of the evaluation. Finally, theoretical questions will be asked related to the assigments' comments to evaluate the therotical part. To pass the exam it is manadatory to finalize the assignments. In the overall evaluation, 80% of the mark (24/30) is based on the presentation of code and assignments and 20% (6/30) on the related theoretical questions. The exam structure does not foresee any difference between online and onsite exam: online, the interview and homework check are carried on in the virtual classroom by sharing the laptop monitor, while onsite the same exam structure is carried on live in a room.
Modalità di esame: Prova orale obbligatoria; Elaborato progettuale individuale;
The exam is an oral interview focused on discussing the homework implemenation. Students wil be required to show on their own laptop the solutions of the assigments. Theoretical questions will be asked related to the assigments' comments to evaluate the therotical part. To pass the exam it is manadatory to finalize the assignments. In the overall evaluation, 80% of the mark (24/30) is based on the assignment discussion and 20% (6/30) on the related thoretical questions. The exam structure does not foresee any difference between online and onsite exam: online, the interview and homework check are carried on in the virtual classroom by sharing the laptop monitor, while onsite the same exam structure is carried on live in a room.
Exam: Compulsory oral exam; Individual project;
The exam is an oral interview focused on discussing the homework implemenation. Students will be required to show on their own laptop the solutions of the assigments. Then, to to the students will be required to summarize these results and theoretical implications in a ppt (or equivalent) presentation. The capabilty to properly organize the presentation and to effectively summarize results (figures, tables, etc...) will be part of the evaluation. Finally, theoretical questions will be asked related to the assigments' comments to evaluate the therotical part. To pass the exam it is manadatory to finalize the assignments. In the overall evaluation, 80% of the mark (24/30) is based on the presentation of code and assignments and 20% (6/30) on the related theoretical questions. The exam structure does not foresee any difference between online and onsite exam: online, the interview and homework check are carried on in the virtual classroom by sharing the laptop monitor, while onsite the same exam structure is carried on live in a room.
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