Cloud Computing

Code	11481
Year	1
Semester	S2
ECTS Credits	6
Workload	PL(30H)/T(30H)
Scientific area	Informatics
Entry requirements	There are no entry requirements
Mode of delivery	Face-to-face learning.
Work placements	Not applicable.
Learning outcomes	The aim of the course is to provide students with a broad and integrative perspective of cloud computing. At the end of the course, students should be able to systematize a vertical approach to the various cloud computing technologies that offer applications and services greater flexibility, better resource utilization, greater scalability and adaptability, and cost reduction. Students should be able to develop scalable and reliable applications and systems for cloud computing.
Syllabus	Perspective on the adoption of cloud computing technologies. Cloud computing and service models. Comparison of public cloud platforms. Features of grid and cloud platforms. Parallel and distributed programming paradigms. Programming support of Google App Engine. Programming on Amazon AWS. Microsoft Azure programming support. Cloud software environments. Performance of distributed and cloud systems.
Main Bibliography	Distributed and Cloud Computing: From Parallel Processing to the Internet of Things, Kai Hwang , Jack Dongarra, Geoffrey C. Fox (Authors), Morgan Kaufmann; 1st edition, 2011, ISBN-13: 978-0123858801, 672 pages. Cloud Computing: A Hands-On Approach, Arshdeep Bahga, Vijay Madisetti (Authors), Vijay Madisetti, 2014, ISBN-13: 978-0996025508, 456 pages. Guide to Reliable Distributed Systems: Building High-Assurance Applications and Cloud-Hosted Services, Kenneth P Birman (Author), Springer, 2012, ISBN-13: 978-1447124153, 730 pages.
Language	Portuguese. Tutorial support is available in English.