Course detail

Distributed Application Environment

FIT-PDIAcad. year: 2020/2021

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.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Ondřej Ryšavý, Ph.D.

Department

Department of Information Systems (UIFS)

Learning outcomes of the course unit

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.
  • 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

Prerequisites

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

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

  • 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

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

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.

Specification of controlled education, way of implementation and compensation for absences

  • Scored laboratory exercises for which at least two terms are listed. The possibility of replacement only in case of objective and proven obstacles in the study.
  • Mid-term exam in the lecture.
  • Evaluated projects with defence in the form of presentation of results.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Kshemkalyani, Singhal: Distributed Computing, Cambridge Press, 2008.

Recommended reading

B. Burns: Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services,  O'Reilly Media, 1st edition, 2018.

Classification of course in study plans

  • Programme IT-MSC-2 Master's

    branch MGM , 0 year of study, winter semester, compulsory-optional
    branch MBI , 0 year of study, winter semester, elective
    branch MBS , 0 year of study, winter semester, elective
    branch MIN , 0 year of study, winter semester, elective
    branch MIS , 2 year of study, winter semester, compulsory-optional
    branch MMI , 0 year of study, winter semester, elective
    branch MMM , 0 year of study, winter semester, elective
    branch MPV , 0 year of study, winter semester, compulsory-optional
    branch MSK , 2 year of study, winter semester, compulsory

  • Programme MITAI Master's

    specialization NISY , 0 year of study, winter semester, elective
    specialization NADE , 0 year of study, winter semester, compulsory
    specialization NBIO , 0 year of study, winter semester, elective
    specialization NCPS , 0 year of study, winter semester, elective
    specialization NEMB , 0 year of study, winter semester, elective
    specialization NHPC , 0 year of study, winter semester, elective
    specialization NGRI , 0 year of study, winter semester, elective
    specialization NIDE , 0 year of study, winter semester, elective
    specialization NISD , 0 year of study, winter semester, elective
    specialization NMAL , 0 year of study, winter semester, elective
    specialization NMAT , 0 year of study, winter semester, elective
    specialization NNET , 0 year of study, winter semester, compulsory
    specialization NSEC , 0 year of study, winter semester, elective
    specialization NSEN , 0 year of study, winter semester, elective
    specialization NSPE , 0 year of study, winter semester, elective
    specialization NVER , 0 year of study, winter semester, elective
    specialization NVIZ , 0 year of study, winter semester, elective

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Radek Hranický, Ph.D.
Ing. Kamil Jeřábek, Ph.D.
doc. Ing. Ondřej Ryšavý, Ph.D.
RNDr. Marek Rychlý, Ph.D.

Syllabus

  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

Exercise in computer lab

6 hod., compulsory

Teacher / Lecturer

RNDr. Marek Rychlý, Ph.D.
Ing. Radek Hranický, Ph.D.
Ing. Jan Pluskal, Ph.D.

Project

20 hod., compulsory

Teacher / Lecturer

Ing. Jan Pluskal, Ph.D.
RNDr. Marek Rychlý, Ph.D.
Ing. Radek Hranický, Ph.D.

Syllabus

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