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.

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.

Recommended optional programme components

Not applicable.

Literature

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

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

Language of instruction

Czech, English

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.

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MBI , any year of study, winter semester, 5 credits, elective
    branch MPV , any year of study, winter semester, 5 credits, compulsory-optional
    branch MGM , any year of study, winter semester, 5 credits, compulsory-optional
    branch MBS , any year of study, winter semester, 5 credits, elective
    branch MIN , any year of study, winter semester, 5 credits, elective
    branch MMI , any year of study, winter semester, 5 credits, elective
    branch MMM , any year of study, winter semester, 5 credits, elective

  • Programme MITAI Master's

    specialization NADE , any year of study, winter semester, 5 credits, compulsory
    specialization NBIO , any year of study, winter semester, 5 credits, elective
    specialization NGRI , any year of study, winter semester, 5 credits, elective
    specialization NNET , any year of study, winter semester, 5 credits, compulsory
    specialization NVIZ , any year of study, winter semester, 5 credits, elective
    specialization NCPS , any year of study, winter semester, 5 credits, elective
    specialization NSEC , any year of study, winter semester, 5 credits, elective
    specialization NEMB , any year of study, winter semester, 5 credits, elective
    specialization NHPC , any year of study, winter semester, 5 credits, elective
    specialization NISD , any year of study, winter semester, 5 credits, elective
    specialization NIDE , any year of study, winter semester, 5 credits, elective
    specialization NISY , any year of study, winter semester, 5 credits, elective
    specialization NMAL , any year of study, winter semester, 5 credits, elective
    specialization NMAT , any year of study, winter semester, 5 credits, elective
    specialization NSEN , any year of study, winter semester, 5 credits, elective
    specialization NVER , any year of study, winter semester, 5 credits, elective
    specialization NSPE , any year of study, winter semester, 5 credits, elective

  • Programme IT-MGR-2 Master's

    branch MSK , 2. year of study, winter semester, 5 credits, compulsory
    branch MIS , 2. year of study, winter semester, 5 credits, compulsory-optional

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

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

Teacher / Lecturer

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

Project

20 hours, compulsory

Teacher / Lecturer

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

Syllabus

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