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Cloud and Data Center Technologies

Code 11489
Year 1
Semester S2
ECTS Credits 6
Workload PL(30H)/T(30H)
Scientific area Informatics
Mode of delivery Face-to-face.
Learning outcomes At the end of the semester, the student should be able to
a) Understand the working principles and identify the main Cloud architectures
b) Apply modelling, design and development techniques to Cloud systems
c) Understand, identify and correctly select the main types of virtualization techniques
d) Apply modelling, design and development techniques to virtualized systems
e) Understand the working principles and implemente systems that perform load balacing
f) Understand and describe what are the principles for Software, Platform and Infrastructure as a Service
Syllabus 1. Cloud Computing concepts and its eolution, architecture and infrstructure
2. Standards, strategies, opportunities, risks and implementation strategies for Cloud Computing systems
3. Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS)
4. Technologies and developement and implementation tools for Cloud Computing systems
5. Network and data storage technologies
6. Virtualization of networks and data storage
7. Load balancing systems, Firewalls, VPNs e VLANs
8. Storage area networks
Main Bibliography • Cloud Computing: Concepts, Technology & Architecture, Thomas Erl , Ricardo Puttini , Zaigham Mahmood, Prentice Hall, ISBN 0133387526, 2013
• Cloud Computing: Automating the Virtualized Data Center, Venkata Josyula, Malcom Orr, Greg Page, Cisco Press, ISBN 1587204347, 2012
Planned learning activities and teaching methods Teaching Method:

1. Expository method
2. Supervised group work
3. Self-learning
4. Peer learning
5. Project work
Language Portuguese. Tutorial support is available in English.
Last updated on: 2017-07-01

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