Distributed Systems, BSc
AbstractThis course teaches the theoretical and practical foundations for distributed computing.
Programs of today
typically exhibit aspects of concurrency (or parallelism), distribution, or
mobility or even all of them. In a concurrent system parts of the programs
proceed simultaneously - for example in different threads or using event
dispatching. In a distributed system parts of the system are spread over a
number of programs communicating over a network to cooperatively provide a service.
The network may be anything from the local network in a building to the entire
The student will gain theoretical and practical experience in concurrency and distributed computing.
The course covers a number of topics, including:
- Communication over the network leads to dropped and reordered packets which requires robust request/reply and multicast protocols.
- Since programs communicate over an open and potentially faulty network, it is difficult for them to synchronise on time, leaders, and data. Protocols for time synchronisation, logical time, consensus, and data distribution address such issues.
- In order to support changes and evolution of it-systems, loosely coupled architectures such as Service Oriented Architecture (e.g., Microservices) are employed, as well as process-oriented architectures for combining services in process flows in an adaptable way.
In order to participate to this course, you must be able to use all major elements of a standard programming language (such as Java) for implementing medium sized programs, corresponding to the mandatory programming module on the MSc programme Software Design or the first year of the BSc in Software Development (in particular Introductory Programming and First Year Project).
Intended learning outcomes
After the course, the student should be able to:
- Describe and use fundamental architectures, principles and models used in designing and constructing mobile and distributed systems.
- Describe and use basic concepts in mobile and distributed systems for evaluation and designing of solutions to problems in the field
- Implement distributed, and mobile systems in practice with the help of the above techniques
Lectures, exercise sessions, mandatory exercises and mini-projects. Exercises will emphasise theoretical work, mini-projects implementation work. Mandatory Activities 6 mandatory hand-ins; all submitted in groups. All 6 mandatory submissions must be approved in order to be eligible for the exam. Deadlines will be listed on the course page. If your submission is not approved, you may resubmit. See deadline on the course page
6 mandatory hand-ins; all submitted in groups. All 6 mandatory submissions must be approved in order to be eligible for the exam. Deadlines will be listed on the course page. If your submission is not approved, you may resubmit. See deadline on the course page.
The student will receive the grade NA (not approved) at the ordinary exam, if the mandatory activities are not approved and the student will use an exam attempt.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Martin Klappmann)
Student Activity BudgetEstimated distribution of learning activities for the typical student
- Preparation for lectures and exercises: 10%
- Lectures: 15%
- Exercises: 15%
- Assignments: 10%
- Project work, supervision included: 20%
- Exam with preparation: 30%
Ordinary examExam type:
A: Written exam on premises, External (7-point scale)
A33: Written exam on premises on paper with restrictions
B: Oral exam, External (7-point scale)