Faculty of Information Technology, BUT

Course details

Distributed Application Environment

PDI Acad. year 2018/2019 Winter semester 5 credits

Common characteristics of distributed environments. Principles, algorithms and systems of distributed computing. Types of distributed environments. Design and model of distributed applications. Distributed operating and file systems. Cloud Computing. Technology JSP, J2EE, JavaBeans, EJB, RPC, XML-RPC, SOAP, IIOP. Web services. Technology CORBA, COM, DCOM. Security in distributed applications.


Deputy Guarantor

Language of instruction



Examination (written)

Time span

26 hrs lectures, 6 hrs pc labs, 20 hrs projects

Assessment points

55 exam, 15 half-term test, 10 exercises, 20 projects




Letavay Viliam, Ing. (DIFS FIT BUT)
Pluskal Jan, Ing. (DIFS FIT BUT)
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT)

Subject specific learning outcomes and competences

The student will become familiar with concepts and principles of distributed environments, with design and implementation of applications for distributed environments and security aspects in distributed environments.

Generic learning outcomes and competences

  • Student learns terminology in the domain of DS
  • Student learns to create small projects
  • Student learns to present and defend the results of the small project

Learning objectives

The aim is to understand principles and design of applications for distributed environment, obtain overview of modern distributed environments and ability of usage application interface for various programming environments.

Prerequisite kwnowledge and skills

  • knowledge of programming
  • knowledge discrete mathematics
  • basic knowledge of computer networks

Study literature

  • B. Burns: Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services,  O'Reilly Media, 1st edition, 2018.
  • S. Kshemkalyani: Distributed Computing, Cambridge Press, 2008.
  • selected research papers

Fundamental literature

  • B. Burns: Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services,  O'Reilly Media, 1st edition, 2018.
  • S. Saxena, S. Gupta: Real-Time Big Data Analytics,  Packt Publishing, 2016.
  • S. Kshemkalyani: Distributed Computing, Cambridge Press, 2008.
  • A. Tanenbaum, M. Steen: Distributed Systems: Principles and Paradigms. Prentice Hall, 2002, ISBN: 0130888931

Syllabus of lectures

  1. Principles of DS, Models of DS
  2. Logical Time
  3. Global State
  4. Group Communication, Election 
  5. Distributed Algorithms
  6. Interprocess Communication
  7. Cloud Technologies
  8. Map Reduce Programming Model
  9. Web Services
  10. Message Passing Interface
  11. Enterprise Service Bus
  12. Containers
  13. Complex Event Processing

Syllabus - others, projects and individual work of students

  • Implementation of distributed application in the given target environment (CORBA, Azure, Hadoop,...).

Progress assessment

  • Mid-term written examination - 15 points
  • Laboratory exercises - 10 points
  • Evaluated project with the defense - 20 points
  • Final written examination - 55 points

Exam prerequisites

  • not applicable


Monlecturelectures A112 14:0015:50 1MIT 2MIT MSK xx
Moncomp.lab2018-11-19 A112 16:0018:50Cviceni Azure PDI
Tuecomp.lab2018-11-13 N103 N104 10:0011:50cvič. Hadoop/Spark
Wedexam2019-01-09 A112 16:0017:50 1MIT 2MIT řádná
Thuexam2019-01-31 A113 11:0012:50 1MIT 2MIT 2. oprava
Friexam2019-01-25 L304 13:0014:50 1MIT 2MIT 1. oprava

Course inclusion in study plans

  • Programme IT-MSC-2, field MBI, MBS, MIN, MMI, MMM, any year of study, Elective
  • Programme IT-MSC-2, field MGM, any year of study, Compulsory-Elective group I
  • Programme IT-MSC-2, field MIS, 2nd year of study, Compulsory-Elective group N
  • Programme IT-MSC-2, field MPV, any year of study, Compulsory-Elective group C
  • Programme IT-MSC-2, field MSK, 2nd year of study, Compulsory
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