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Distributed Systems

This is the study programme for 2020/2021.

The course gives insight into both theoretical and practical aspects of distributed computing systems, with particular emphasis on techniques for building fault tolerant systems.

Learning outcome

- Be familiar with important principles for design and implementation of distributed systems. - Be familiar with the most important system architectures for distributed systems. - Be familiar with important techniques for solving various problems in distributed systems.
- Be able to develop advanced distributed applications with fault tolerance properties. - Be able to perform independent research in distributed systems. - Be able to reason about problems that involve distributed components.
General competency
- Know how to develop distributed computer systems.


The course gives insight into important theoretical principles of distributed computing, including: system models for interaction and failure, interprocess communication, synchronization, time and global states, protocols for coordination and consensus (Paxos), distributed transactions, fault tolerance, consistency, and replication. The course also covers concrete systems and architectures for distributed systems: map-reduce, distributed hash tables, peer-to-peer systems, gossip-based systems, and distributed file and storage systems.
The course also includes a large programming project based on concepts and algorithms studied in class, in which the student must show how these can be implemented in practice.
The programming project in this course shall be implemented using the Go programming language.

Required prerequisite knowledge


Recommended previous knowledge

Operating systems, computer networking, advanced programming


Written exam and exercises
Weight Duration Marks Aid
Written6/104 hoursA - FNone permitted
Programming project4/10 A - F
Project consisting of several programming assignments is the basis for 40 % of the total grade. The project is to be performed in a group. The grade for the project will be based on the submitted program code and an individual oral hearing of the submitted program code. Only a single grade is given for these programming assignments. Each group member can receive a different grade based on their performance during the oral hearing.
Written exam is basis for 60 % of the total grade.

Coursework requirements

Compulsory assignments
Two mandatory individual programming exercises. Pass/Fail. All programming exercises must be passed within the specified deadlines to attend the written exam. Approval takes place through the Autograder system for automated evaluation, followed by in-lab approval.
Completion of mandatory lab assignments are to be made at the times and in the groups that are assigned. Absence due to illness or for other reasons must be communicated as soon as possible to the laboratory personnel. One cannot expect that provisions for completion of the lab assignments at other times are made unless prior arrangements with the laboratory personnel have been agreed upon.
Failure to complete the assigned labs on time or not having them approved will result in barring from taking the exam of the course.

Course teacher(s)

Course coordinator
Veronica del Carmen Estrada Galinanes
Course teacher
Veronica del Carmen Estrada Galinanes
Coordinator laboratory exercises
Racin Wilhelm Nygaard
Head of Department
Tom Ryen

Method of work

4 hours of lectures and 4 hours of mandatory work. All mandatory work (such as hand-ins, lab.work and projects etc. ) must be approved within the specified deadlines throughout the course.

Overlapping courses

Course Reduction (SP)
Distributed systems (MID110_1) 10

Open to

Admission to Single Courses at the Faculty of Science and Technology
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Course assessment

Form and/or discussion


Literatur will be published as soon as it has been prepared by the course coordinator/teacher

This is the study programme for 2020/2021.

Sist oppdatert: 15.08.2020