FIRST OPPORTUNITY

The subject consists of two clearly differentiated modules. Each module will propose practices (laboratory practices and / or supervised work). To pass the practices it will be mandatory to submit all of them.

The final mark will be calculated as the weighted average of the practice marks (laboratory practices and / or supervised work) and the objective test mark. To pass it, it will be necessary to reach at least 40% in each one of the marks and 50% in the average.

SECOND OPPORTUNITY

In the second opportunity, the same assessment criteria will be followed. There will be a second submission date for the practices, and the marks of those parts that have reached a minimum of 40% at the first opportunity will be conserved for the second opportunity.

STUDENTS AT PART TIME

The assessment will be the same as that of full-time students.

FRAUD

In the case of detecting any fraud in the evaluation tests, the sanctioning measures provided for in the university regulations will be applied.

Learning outcomes	Study programme competences
Know the software and hardware systems that allow the implementation of fault tolerant solutions	A36 A37	B1 B3	C3 C6
Coñecer as alternativas tecnolóxicas para implantar solucións de alta dispoñibilidade nos centros de procesamento de datos	A36 A37	B3	C3
Saber configurar solucións de alta dispoñiblidade utilizando as ferramentas informáticas axeitadas	A36 A37	B1	C3
Coñecer os fundamentos da virtualización e as súas aplicacións máis relevantes nos centros de procesamento de datos	A37	B3	C3 C6
Coñecer os fundamentos da computación na nube (Cloud Computing)	A37	B3	C6
Saber utilizar os servizos básicos de provedores cloud públicos	A37	B1	C3

Topic	Sub-topic
Tolerancia a fallas, redundancia e alta dispoñibilidade
Servidores e clusters de servidores
Module I: High Availability Data Center Architectures	1.- Introduction to High Availability (HA) 2.- Architecture of a Data Center 3.- Servers of a Data Center for HA 4.- Clusters of a Data Center for HA
Module II: Virtualization and Cloud Computing	1.- Virtualization technologies 2. Virtualization of the Data Center 3.- Computing in the Cloud (Cloud Computing)
Computación na nube (Cloud Computing)

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
Laboratory practice	B1 C3	14	42	56
Objective test	A36 A37	3	0	3
Supervised projects	A37 B3 C6	6	18	24
Guest lecture / keynote speech	A36 A37 C6	21	42	63

Personalized attention		4	0	4

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies	Description
Laboratory practice	Activity that allows students to learn and consolidate the knowledge already acquired through the realization of practical sessions in computers.
Objective test	Test that will be done at the end of the semester, on the contents of the lectures and the laboratory practices.
Supervised projects	Resolution of a study case of greater difficulty to those made in the practices, studying in greater depth a specific application directly related to the contents of the subject. A report on the work carried out must be submitted, summarizing the main conclusions of it.
Guest lecture / keynote speech	Presentation complemented with the use of audiovisual media and the introduction of debate phases with the students. All this in order to transmit knowledge and facilitate learning.

Methodologies	Competencies	Description	Qualification
Laboratory practice	B1 C3	As prácticas de laboratorio consistirán en diferentes actividades que se proporán ao longo do cuadrimestre relacionadas cos contidos da materia.	40
Objective test	A36 A37	A proba obxectiva realizarase ao final do cuadrimestre e estará formada por preguntas relacionadas co temario desenvolvido nas sesións maxistrais e nas prácticas.	40
Supervised projects	A37 B3 C6	Os traballos tutelados serán sobre algún tema a convir entre as/os alumnas/os e o profesor. Valoraranse entre outros o cumprimento das especificacións, a contribución persoal, e a calidade das explicacións e da presentación dos resultados.	20

Assessment comments
FIRST OPPORTUNITY The subject consists of two clearly differentiated modules. Each module will propose practices (laboratory practices and / or supervised work). To pass the practices it will be mandatory to submit all of them. The final mark will be calculated as the weighted average of the practice marks (laboratory practices and / or supervised work) and the objective test mark. To pass it, it will be necessary to reach at least 40% in each one of the marks and 50% in the average. SECOND OPPORTUNITY In the second opportunity, the same assessment criteria will be followed. There will be a second submission date for the practices, and the marks of those parts that have reached a minimum of 40% at the first opportunity will be conserved for the second opportunity. STUDENTS AT PART TIME The assessment will be the same as that of full-time students. FRAUD In the case of detecting any fraud in the evaluation tests, the sanctioning measures provided for in the university regulations will be applied.

Basic
	1. Kailash Jayaswal (2006)."Administering Data Centers: Servers, Storage, and Voice over IP". Wiley. ISBN: 978-0-471-77183-8  2. Sander Van Vugt (2014)."Pro Linux high availability clustering".Apress. ISBN:978-1484200803    3. Germán Pacio (2015). "Data Centers Hoy". Marcombo. ISBN: 978-8-42672-156-3 4. Luís Joyanes Aguilar (2013). "Computación en la Nube: Estrategias de Cloud Computing en las Empresas". Marcombo. ISBN: 978-8-42671-893-8
Complementary
	1. Hwaiyu Geng (2015). "Data Center Handbook". Wiley. ISBN: 978-1-118-43663-9 2. Gustavo Santana (2014). "Data Center Virtualization Fundamentals". Cisco Press. ISBN: 978-1-58714-324-3

Other comments
For the mention of Information Technology, in which this subject is optional in the 2nd term, it is recommended to attend simultaneously the subject: "Infrastructure Administration and Information Systems - AISI - (614G01113)".