Assumed prior knowledge
Students are assumed to have taken courses in programming, computer architecture/organization and operating systems at a BSc level.
Easily accessible and responsive web-based services play a prominent role in modern society. Examples include data storage (documents, photos, etc.), content delivery (video streaming), social media, mapping and route planning, document editing and traditional web sites. Many of these services are empowered by cloud infrastructure. In the last decade, we have witnessed a large-scale transition from systems and software managed "on-premises" to infrastructure and software run in the cloud. Adoption of the cloud is expected to continue to increase in the coming years.
Academic interest in the cloud is twofold. Firstly, Cloud Computing is a multidisciplinary area of research involving issues in theory, algorithms, computer systems, performance measurement and modeling, and middleware and application design. Secondly, the use of the cloud as a platform within which to conduct research is increasing due to the availability of data management and analytics in the cloud, Infrastructure as a Service (IaaS) and High Performance Computing in the cloud.
In this course we will give a broad overview of the multidisciplinary field of Cloud Computing. Topics to be discussed include XaaS, deployment models, technical fundamentals of cloud systems, networking, scaling and elasticity, resource management & availability, programming cloud applications and emerging topics in the field. After a number of introductory lectures, all participating students will present a recent paper published in one of the premier conferences, or journals, on cloud computing. Finally, the aim of the accompanying lab assignments is to become familiar with a number of aspects of cloud systems such as container management, autoscaling, cloud infrastructure simulation and cloud platform dashboards and APIs.
The student can describe the hardware and (operating system) software requirements for successful and performant virtualization.
The student can characterize different services that are typically present within cloud environments such as (virtualized) networks, storage infrastructure, resource management, middleware and IaaS frameworks.
The student is able to construct and compose small cloud applications that use different services and APIs present within cloud environments (such as IaaS, object stores, message queues, web frameworks).
The student can reason about cloud resource management, elasticity, availability, reliability and security concerns.
The student can use the knowledge acquired in this course to reason about performance of software solutions using cloud systems and propose experiments to test hypotheses.
The student is able to understand and form opinions on recent academic literature on cloud computing.
The most recent timetable can be found at the Computer Science (MSc) student website.
You will find the timetables for all courses and degree programmes of Leiden University in the tool MyTimetable (login). Any teaching activities that you have sucessfully registered for in MyStudyMap will automatically be displayed in MyTimeTable. Any timetables that you add manually, will be saved and automatically displayed the next time you sign in.
MyTimetable allows you to integrate your timetable with your calendar apps such as Outlook, Google Calendar, Apple Calendar and other calendar apps on your smartphone. Any timetable changes will be automatically synced with your calendar. If you wish, you can also receive an email notification of the change. You can turn notifications on in ‘Settings’ (after login).
For more information, watch the video or go the the 'help-page' in MyTimetable. Please note: Joint Degree students Leiden/Delft have to merge their two different timetables into one. This video explains how to do this.
Mode of instruction
Seminar (student presentations).
Students are expected to work on the lab assignments autonomously, outside of the lectures.
Total hours of study: 168 hrs. (= 6 EC)
Lectures (including homework and preparation of presentation): 58:00 hrs.
Practical work (self-study, so unsupervised): 90:00 hrs.
Examination: 20:00 hrs.
The assessment consists of three parts:
Written exam with open questions. (35%)
Two or three lab assignments (announced in BrightSpace at course start). (40%)
Oral paper presentation. (25%)
The final grade is computed as a weighted average of these three parts. The minimum grade of each part is "1". All three individual parts must be sufficient (>= 5.5) to pass the course, in case this requirement is not met the final grade is maximized to "5". A final grade will be established for all students that are enrolled in the course after the third week, for parts that are not handed in the grade "1" will be entered.
With regard to the lab assignments: all lab assignments must be submitted in order to receive a final lab grade. The lab grade is the weighted average over the lab assignments, weights to be announced at the start of the couse. If the lab grade is insufficient, but the exam grade is sufficient, a possibility for a lab resit can be discussed with the lecturer.
Once the exam results have been announced, inspection of the exam is possible by appointment only up to two months after publication of the results.
There is no prescribed textbook. Lecture slides and reading list of papers are provided on BrightSpace.
From the academic year 2022-2023 on every student has to register for courses with the new enrollment tool MyStudyMap. There are two registration periods per year: registration for the fall semester opens in July and registration for the spring semester opens in December. Please see this page for more information.
Please note that it is compulsory to both preregister and confirm your participation for every exam and retake. Not being registered for a course means that you are not allowed to participate in the final exam of the course. Confirming your exam participation is possible until ten days before the exam.
Extensive FAQ's on MyStudymap can be found here.
Lecturer: dr. K.F.D. Rietveld