Identifying Data 2022/23
Subject (*) Computer Infrastructure Engineering Code 614G01059
Study programme
Grao en Enxeñaría Informática
Descriptors Cycle Period Year Type Credits
Graduate 1st four-month period
Fourth Optional 6
Language
Galician
Teaching method Face-to-face
Prerequisites
Department Enxeñaría de Computadores
Coordinador
Pardo Martínez, Xoán Carlos
E-mail
xoan.pardo@udc.es
Lecturers
Pardo Martínez, Xoán Carlos
E-mail
xoan.pardo@udc.es
Web
General description Esta materia supón unha continuación da materia de Xestión de Infraestruturas orientada ao estudo de solucións tolerantes a fallas e de alta dispoñibilidade en centros de procesamento de datos (CPD) e unha introdución ao uso de tecnoloxías de virtualización nos CPDs e aos fundamentos da Computación na Nube (Cloud Computing).

Study programme competencies
Code Study programme competences
A36 Capacidade para comprender, aplicar e xestionar a garantía e a seguridade dos sistemas informáticos.
A37 Capacidade para analizar, avaliar, seleccionar e configurar plataformas hárdware para o desenvolvemento e execución de aplicacións e servizos informáticos.
B1 Capacidade de resolución de problemas
B3 Capacidade de análise e síntese
C3 Utilizar as ferramentas básicas das tecnoloxías da información e as comunicacións (TIC) necesarias para o exercicio da súa profesión e para a aprendizaxe ao longo da súa vida.
C6 Valorar criticamente o coñecemento, a tecnoloxía e a información dispoñible para resolver os problemas cos que deben enfrontarse.

Learning aims
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

Contents
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)

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Laboratory practice A37 B1 B3 C3 C6 20 60 80
Objective test A36 A37 3 0 3
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
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.
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.

Personalized attention
Methodologies
Laboratory practice
Description
Personalized attention during the laboratories will be used to guide and verify the work that students are doing according to the instructions given to them, depending on the specific lab.

All the lecturers will also propose a tutorial schedule in which the students can solve any doubt. The tutorials are recommended as a fundamental part of the learning support.

Assessment
Methodologies Competencies Description Qualification
Laboratory practice A37 B1 B3 C3 C6 As prácticas de laboratorio consistirán en diferentes actividades que se proporán ao longo do cuadrimestre relacionadas cos contidos da materia. Ademáis poderán realizarse probas complementarias de avaliación contínua sobre os contidos específicos tratados nas prácticas. 50
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. 50
 
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.

Sources of information
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



Recommendations
Subjects that it is recommended to have taken before
Infrastructure Management/614G01025
Computer Architecture/614G01033

Subjects that are recommended to be taken simultaneously
Administration of Infrastructures and Information Systems/614G01113

Subjects that continue the syllabus
Administration of Infrastructures and Information Systems/614G01093

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)".



(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.