Main Field of Study and progress level:
Computing Science: Second cycle, has second-cycle course/s as entry requirements
Grading scale: Pass with distinction, Pass with merit, Pass, Pass with distinction, Pass, Fail
Responsible department: Department of Computing Science
Contents
The course consists of two parts:
Part 1 theory, 4.5 credits
This part covers theoretical models and definitions as well as practical aspects of cloud compunting, including the fundamentals of hardware virtualization and its role in construction of data centers. Other topics include autonomic management of data centers and development of applications (services) for this type of infrastructure.
Part 2, laboratory, 3credits.
In the laboratory part some of the theories and techniques discussed in the theoretical part are put into practice. This part consists of a series of mandatory laboratory assignments.
Expected learning outcomes
Knowledge and understanding
After having completed the course the student will be able to:
- Clarify the different definitions of cloud computing and its characteristics (FSR 1)
- Explain the principles of hardware virtualization and its importance for cloud computing, (FSR 2)
- Motivate the importance of data centers for clouds, and explain how to design and construct a data center (FSR 3)
- Explain the fundamental principles and methods for autonomic computing system. (FSR 4)
Skills and abilities
After having completed the course the student will be able to:
- Analyze different service models for clouds, and explain the concept of IT as a service (FSR 5)
- Apply fundamental principles and methods of autonomic computing to management of data centers and cloud services (FSR 6)
- Analyze the impact of autonomic systems on system lifecycle management (FSR 7)
- Design and build applications for various cloud models (FSR 8)
- Design and implement algorithms for autonomic management of data center resources (FSR 9)
Values and attitudes
After having completed the course the student will be able to:
- Analyse properties of elastic and scalable cloud services (applications) (FSR 10)
- Compare and evaluate virtualization technologies with respect to, e.g., flexibility and performance ( FSR 11)
Required Knowledge
Univ: To be addmitted you must have 60-ECTS credits in Computing Science or 2 years of completed studies, in both cases including Distributed systems, (5DV020) or equivalent.
English proficiency equivalent to IELTS Academic Training minimum score 5.0 with no individual score below 4.5 (Tests taken before January 2005 not admissible or TOEFL minimum score 500 on paper based test and not below 4.0 on the TWE, Alternatively 173 on computer based test with iBT61 is also required as well as basic entrance requirements for higher studies in Swedish language proficiency if the course in taught in Swedish.
Form of instruction
Education consists of lectures and mandatory computer based assignments. In addition to scheduled activities, individual work with the material is also required.
Examination modes
The examination consists of a written exam in Part 1 (FSR 1-7, 11) and by grading the mandatory computer-based assignments in Part 2 (FSR 5-11). In Part 1, the grades given are Fail (U), Pass (3) or Pass with Mark (4), or Pass with Distinction (5). In Part 2 the grades given are Fail (U) or Pass (G). On the course as a whole, the grades given are Fail (U), Pass (3) or Pass with Mark (4), or Pass with Distinction (5). In order to pass the course completely all mandatory parts must be passed as well. The final grade of the course is a summary assessment of the results and decided only after all mandatory parts are passed.
A student who has passed an examination may not be re-examined.
For all students who do not pass the regular examination there are additional opportunities to do the examination. A student who has taken two tests for a course or segment of a course, without passing, has the right to have another examiner appointed, unless there exist special reasons (Higher Education Ordinance Chapter 6, section 22). Requests for new examiners are made to the head of the Department of Computing Science.
Other regulations
TRANSFER OF CREDITS
This course may not be used towards a degree, in whole or in part, simultaneously with another course of similar content. If in doubt, consult the student counselors at the Department of Computing Science and / or program director of your program.
Transfer of credits is considered individually (see the University Code of Rules and regulations for transfer of credits). An application for transfer of credits is made on a special form and should be submitted to the Faculty of Science and Technology, Umeå University.
