Cloud Computing

Code	14459
Year	1
Semester	S2
ECTS Credits	6
Workload	PL(30H)/T(30H)
Scientific area	Informatics
Entry requirements	None.
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. System models, cloud types and the cloud ecosystem. Cloud computing and service models. Analysis and comparison of public cloud platforms. Serverless computing. Parallel and distributed programming paradigms. Performance of distributed and cloud systems. Characteristics of data and databases in cloud systems. Basic building blocks of Google's cloud platform.
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 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. Cloud Computing: A Hands-On Approach, Arshdeep Bahga, Vijay Madisetti (Authors), Vijay Madisetti, 2014, ISBN-13: 978-0996025508, 456 pages
Teaching Methodologies and Assessment Criteria	Expositive lectures for acquiring knowledge. Carrying out group work. Analysis of case studies about cloud computing. Implementation of a project about cloud computing. Evaluation and Grading: Open-book written test: 40%; Theoretical work: 20% ; Field or laboratory project: 40%.
Language	Portuguese. Tutorial support is available in English.