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Cloud Computing
01TYDOV, 01TYDSM
A.A. 2022/23
Course Language
Inglese
Degree programme(s)
Master of science-level of the Bologna process in Ingegneria Informatica (Computer Engineering) - Torino
Master of science-level of the Bologna process in Data Science And Engineering - Torino
Course structure
| Teaching | Hours |
|---|---|
| Lezioni | 48 |
| Esercitazioni in laboratorio | 12 |
| Tutoraggio | 12 |
Lecturers
| Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
|---|---|---|---|---|---|---|---|
| Risso Fulvio Giovanni Ottavio | Professore Ordinario | IINF-05/A | 48 | 0 | 0 | 0 | 6 |
Co-lectures
Context
| SSD | CFU | Activities | Area context | ING-INF/05 | 6 | C - Affini o integrative | Attivitą formative affini o integrative |
|---|
2022/23
Optional course, offered in the Master Degree in Computer Engineering, 1st teaching period, 2nd year.
This course will focus on cloud technologies, which represent and important and growing field in computer engineering.
The course will provide a good understanding of main cloud computing technologies, namely full virtualization and lightweight virtualization (e.g., namespaces, containers), orchestrators, and tools for service deployment, monitoring, and maintenance. Security aspects will be presented as well,
Teaching labs will focus on service creation and deployment with different orchestrators, namely OpenStack and Kubernetes, and support tools such as Ansible.
Optional course, offered in the Master Degree in Computer Engineering, 1st teaching period, 2nd year.
This course will focus on cloud technologies, which represent and important and growing topic in computer engineering.
The course will provide a good understanding of main cloud computing technologies, namely full and lightweight virtualization (e.g., namespaces, containers), orchestrators, tools for service deployment, monitoring, and maintenance.
Teaching labs will focus on the creation and deployment of basic services by means of foundation technologies (e.g., KVM, namespaces, Docker); in the following, more complete services are deployed through orchestrators, mostly Kubernetes, with an overview of support tools such as Ansible.
- Knowledge of computing virtualization technologies (CPU, memory, I/O), including lightweight virtualization techniques (e.g., namespaces, Linux containers, Docker)
- Knowledge of different cloud computing models (public/private/hybrid, IaaS/PaaS/SaaS)
- Knowledge of common open-source service orchestrators (e.g., OpenStack, OpenShift, Kubernetes)
- Knowledge of cloud automation concepts and tools (e.g., Ansible)
- Knowledge of main security and privacy topics in cloud computing services
- Knowledge of computing virtualization technologies (CPU, memory, I/O), including lightweight virtualization techniques (e.g., namespaces, Linux containers, Docker)
- Knowledge of different cloud computing models (public/private/hybrid, IaaS/PaaS/SaaS)
- Knowledge of common open-source service orchestrators (e.g., OpenStack, OpenShift, Kubernetes)
- Knowledge of cloud automation concepts and tools (e.g., Ansible)
- Knowledge of main security and privacy topics in cloud computing services
Basic computer network concepts
Detailed knowledge of computer architectures
Familiarity with Linux operating system
Basic computer network concepts
Detailed knowledge of computer architectures
Familiarity with Linux operating system
Benefits and historical perspective of cloud computing (0,2cr)
Full virtualization technologies: CPU, memory and I/O virtualization (0,6 cr)
Lightweight virtualization: Cgroups, namespaces, Linux containers, Docker (0,2 cr)
Cloud computing models: public/private/hybrid, IaaS/PaaS/SaaS (0,2 cr)
Cloud computing orchestrators: components and interactions (0,8 cr)
Open-source orchestrators: OpenStack, OpenShift, Kubernetes, Mesos (1,6 cr)
Cloud automation (0,6 cr)
Cloud security (0,5 cr)
Privacy in cloud computing (0,4 cr)
Lab (0,9 cr)
Benefits and historical perspective of cloud computing (0,2 cfu)
Full virtualization technologies: CPU, memory and I/O virtualization (0,8 cfu)
Lightweight virtualization: Cgroups, namespaces, Linux containers, Docker (0,7 cfu)
Cloud computing models: public/private/hybrid, IaaS/PaaS/SaaS (0,3 cfu)
Cloud computing orchestrators: components and interactions (0,4 cfu)
Open-source orchestrators: OpenStack, OpenShift, Kubernetes (2,0 cfu)
Cloud automation (0,4 cfu)
Lab (1,2 cfu)
The course includes 51 hours of traditional teaching, complemented by homeworks focusing on the most important topics of the course, which have to be completed by each single student.
In addition, 9 hours are dedicated to lab exercises that will required to practice with the most important technologies presented in the course, such as OpenStack and Kubernetes orchestrators, Docker, Ansible.
Lab exercises will be delivered through a cloud-based system and therefore can be completed also from a remote location.
Lab exercises are expected to be completed by groups of two students.
The course includes 48 hours of traditional teaching, complemented by homeworks focusing on the most important topics of the course, which have to be completed by each single student.
In addition, 12 hours are dedicated to lab exercises that will required to practice with the most important technologies presented in the course, such as OpenStack and Kubernetes orchestrators, Docker, Ansible.
Lab exercises will be delivered through a cloud-based system and therefore can be completed also from a remote location.
Lab exercises are expected to be completed by groups of two students.
Given the very recent content of this course, no textbook is available.
Students will be provided with slides used in class, pointers to scientific papers to deepen the knowledge on some selected topics, exercises, and lab assignments.
All the material will be freely available from the web.
Given the very recent content of this course, no textbook is available.
Students will be provided with slides used in class, pointers to scientific papers to deepen the knowledge on some selected topics, exercises, and lab assignments.
All the material will be freely available from the web.
Modalitą di esame: Prova orale facoltativa; Prova scritta in aula tramite PC con l'utilizzo della piattaforma di ateneo;
Exam: Optional oral exam; Computer-based written test in class using POLITO platform;
...
Expected learning outcome
Knowledge of the topics presented in class and of the lab assignments.
Capability to solve exercises that involve the technologies presented in class.
Capability to solve exercises that involve a more complex scenario including multiple technologies presented in class.
Exam: rules, procedures
Final exam is delivered in written form and it will include a set of exercises and/or open-answer questions, each one reaching a max of 5 points. In addition, a set of closed-answer questions may be delivered, each one accounting for max 1 points. The total score of the written exam will be max 30 points. The written exam will last max 2 hours; student cannot bring with them any additional material (e.g., slides, notes, etc).
Students who reach a grade >=26 in the written exam can ask for an optional oral exam, consisting in one question, which will contribute to the final grade with max 3 points.
The oral may also be requested by the professor in case it could be useful to decide the final grade.
Gli studenti e le studentesse con disabilitą 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'Unitą Special Needs, al fine di permettere al/la docente la declinazione pił idonea in riferimento alla specifica tipologia di esame.
Exam: Optional oral exam; Computer-based written test in class using POLITO platform;
Expected learning outcome
Knowledge of the topics presented in class and of the lab assignments.
Capability to solve exercises that involve the technologies presented in class.
Capability to solve exercises that involve a more complex scenario including multiple technologies presented in class.
Exam: rules, procedures
Final exam is delivered in written form and it will include a set of exercises and/or open-answer questions, each one reaching a max of 5 points. Exercises may be required to be solved on a cloud-based system, which enables the student to play with a real cloud environment even during the exam.
In addition, a set of closed-answer questions may be delivered, each one accounting for max 1 points. The total score of the written exam will be max 30 points. The written exam will last max 2 hours; student cannot bring with them any additional material (e.g., slides, notes, etc).
Students who reach a grade >=26 in the written exam can ask for an optional oral exam, consisting in one question, which will contribute to the final grade with max 3 points.
The oral may also be requested by the professor, e.g., in case it could be useful to decide the final grade, or in case the number of students enrolled in the exam is very limited.
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.