print logo

INF5360 - Seminar on dependable and adaptive distributed systems

Facts about this course:
Credits:10
Level:Advanced course at master's level
Teaching semester:Every spring semester
Examination semester:Every spring semester
Language of instruction:English
Administrated by:Department of Informatics (Ifi)
Detailed course information - Current and previous semesters:

Course content

This research-oriented seminar explores state-of-the art principles, methods, and techniques for devising adaptive and dependable distributed systems. The seminars covers

  • Architectural and infrastructural principles for adaptive and dependable distributed systems.
  • Adaptivity and dependability in service-oriented architectures, grid computing, data dissemination schemes, P2P systems, mobile and wireless environments.
  • Approaches to improve the scalability of dependable and adaptive systems.
  • Evaluation and experience reports on dependable and adaptive distributed systems and services.

Specific seminar topics include

  • Support for dependability and adaptivity in component-based systems (e.g. component frameworks, container services, deployment, composition and substitution of components).
  • Replication models and protocols.
  • Adaptive and dependable publish-subscribe.
  • Group communication and group membership services in failure scenarios with network partitions.
  • Overlay-based techniques to improve adaptivity, dependability, and scalability of distributed systems.
  • Alternative techniques for dynamic configuration and/or reconfiguration.
  • Partial and probabilistic approaches for replication, group membership, and distributed consensus in loosely-coupled environments to improve dependability.

Learning outcomes

The seminar provides students with a basic understanding of state-of-the-art in the area of dependability and adaptivity of distributed systems.

Admission

Students at UiO must apply for courses in StudentWeb.

International applicants, if you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.

The examination in this course is not available for external candidates. Only students admitted to the course may sit for the examination.

Prerequisites

Recommended prior knowledge

The course builds on INF1010 - Object oriented programming, INF1060 - Introduction to operating systems and data communications/INF103, INF3160 - Operating systems II/INF 242B and INF5040 - Åpen distribuert prosessering. It would be an advantage to have knowledge corresponding to INF1020 - Algorithms and data structures/INF 110.

Teaching

Seminar, 3 hours per week.

Exam information

Oral exam. General information about the examination.

Exam resources

No special exam resources are allowed.

Assessment and grading

Course grades are awarded on a descending scale using alphabetic grades from A to E for passes and F for fail. Read more about the grading system .

Possibility of make-up exams and re-takes

This subject does not offer new examination in the beginning of the subsequent term for candidates who withdraw during an ordinary examination or fail an ordinary examination. For general information about new
examination, see http://www.mn.uio.no/studier/admin/eksamen/utsatt-og-ny-eksamen/index.html and http://www.mn.uio.no/english/studies/admin/examination/retaking-examinations/

Withdrawing from exams and limits on re-takes

A student can sit for this exam up to 3 times. If a student wishes to withdraw from the exam, s/he must do this in StudentWeb at least two weeks prior to the first day of the exam. Failure to do so will be counted as one of the three opportunities to sit for the exam.

Other information

It is strongly recommended to attend the first lecture since it will be given important information.

Contact us

Department of Informatics (Ifi)

Visiting address: 
Informatics builidng, First floor, room 2316, Gaustadalléen 23

Visiting hours: 
Monday-friday 12:00-15:00

Postal address: 
P.o.Box 1080, Blindern
NO-0316 Oslo

Phone: +47 22 85 24 10
Fax: +47 22 85 24 01
E-mail: 
Web: http://www.mn.uio.no/ifi/english/