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Distributed systems

Individual course

Max amount of FITech students: 10

Course contents

  • Basic principles of distributed systems
  • Models of communication from interprocess communication to various forms of remote communication, group communication for different application types
  • Coordination algorithms, including distributed consensus
  • Time management in distributed or independent systems: logical clocks, partial ordering of events, causal ordering
  • Mutual exclusion and shared use of resources
  • Fault tolerant systems, including replica management (for data, for processing)
  • Formal models and verification as design tools for distributed solutions
  • Advanced topics, such as edge computing and blockchain

Learning outcomes

During the course, students learn essential motivations and techniques for distributed systems.

Key challenges discussed include

  • The key principles of distributed system development
  • Applying the principles in evaluating major design paradigms used in implementing distributed systems
  • Distributed decision-making
  • Distributed systems related problems, including coordination, consistency and replication, fault toleranc
  • Design and implement a small distributed system

On a more detailed level, students learn the basic distributed system techniques, including architectures, processes, communication, naming, modelling, synchronization, consistency and replication, and fault tolerance. In addition, the course covers advanced topics such as edge computing and blockchain. We propose solutions for these challenges on different levels of abstraction, in hardware, operating systems, middleware, and application-level architectures. The solutions address distributed processing and storage, their algorithms, mutual communication protocols, and failure situations with recovery options. Common solutions are discussed on replica management, data consistency models and management, and agreements between untrusted agents. Distribution benefits and disadvantages and effects of inter-dependencies of different solutions will be estimated.

Learning material

The course is based on the course books, including Maarten van Steen and Andrew S Tanenbaum Distributed Systems – Principles and Paradigms, Third Edition, 2017, Sukumar Ghosh: Distributed systems an algorithmic approach, 2nd edition, Chapman&Hall/CRC, 2015. Any other distributed systems textbook covering the topics of the course is also possible to use.

Supplementary material will be provided during the course as needed.

Completion methods

Lecture course, with weekly lectures and exercise sessions. No exam. Please note that the teaching method might still be updated depeding on university guidelines.

The lectures are held on Tuesdays at 12-14 and Thursdays at 10-12. The exercises are held on Thursdays at 16-18 and on Fridays at 14-16.

Attendance is optional, but there might be compulsory elements in the course which are discussed during the first lecture.

During the weekly exercises students solve problems, implement small distributed systems, and write short essays on given topics.

More information of the University of Helsinki course page.

You can get a digital badge after completing this course.

Responsible teacher

University of Helsinki
Tiina Nikander
tiina.niklander(at)helsinki.fi

Contact person for applications

FITech Network University
Monica Sandberg
monica.sandberg(at)fitech.io
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Category:
ICT Studies
Topic:
5G technology
Course code:
CSM13001
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
2.11.–24.12.2021
Application deadline:
25.10.2021
Host university:
University of Helsinki
Study is open for:
Adult learner,
Degree student
Teaching methods:
Blended
Place of contact learning:
Helsinki
Language:
English
General prerequisites:
Students should have a Bachelors degree in computer science or a related field. More specifically students must have programming skills, knowledge about operating systems, networking and computer organisation/architectures including some basic understanding of concurrency issues in one computer.
Study suitable for:
The course is targetted at first year master students
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