PA053 Distributed Systems and Middleware

Faculty of Informatics
Spring 2024
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Taught in person.
RNDr. Michal Batko, Ph.D. (lecturer)
Guaranteed by
RNDr. Michal Batko, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Mon 16:00–17:50 D3
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 51 fields of study the course is directly associated with, display
Course objectives
The goal of the course is to introduce possible solutions to problems related to the design of a robust distributed application.
Learning outcomes
At the end of the course students should be able to:
understand and explain the abstractions provided by operating systems and middleware layers in a distributed environment
organize an analysis of the communication, replication, sharing issues,
work with information on the abstractions provided by the distributed operating system kernels,
work with information on the abstractions provided by the middleware layers,
assess specific system studies,
use modern technologies to create distributed applications.
  • Distributed system concepts, benefits, problems, typical architectural patterns (single system image, client-server, service oriented).
  • Technological solutions related to distributed systems (communication, replication, sharing, migration).
  • Operating systems and middleware for distributed systems, provided abstractions, and specific system studies (CORBA, RMI, JMS, EJB, WS, , and others).
  • Operating systems: Concurrent and distributed software design , Jean Bacon and Tim Harris, Addison Wesley, 2003, ISBN: 0-321-11789-1
Teaching methods
Assessment methods
Combination of homework (3x 2 points), a presentation of a selected topic (3 points) and a written exam (6 points). At least 7 points are needed for successful completion.
Language of instruction
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023.
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