Course detail

Distributed Application Environment

FIT-PDIAcad. year: 2018/2019

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.

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.

Recommended or required reading

  • Tanenbaum, A.: Modern Operating Systems. Prentice Hall, 2001, ISBN: 0130313580
  • Stevens, W.R. "UNIX Network Programming." Vol. 1, The Sockets Networking API, 2004, ISBN: 0131411551
  • Stevens, W.R. "UNIX Network Programming." Vol. 2, Interprocess Communications, 1999, ISBN: 0130810819
  • vybrané vědecké články

  • Kshemkalyani, Singhal: Distributed Computing, Cambridge Press, 2008.
  • Tanenbaum, A., Steen, M.: Distributed Systems: Principles and Paradigms. Prentice Hall, 2002, ISBN: 0130888931

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.

Course curriculum

    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,...).

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.

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MBI , any year of study, winter semester, 5 credits, optional
    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, optional
    branch MIN , any year of study, winter semester, 5 credits, optional
    branch MMI , any year of study, winter semester, 5 credits, optional
    branch MMM , any year of study, winter semester, 5 credits, optional
    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

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

Project

20 hours, compulsory

Teacher / Lecturer

Syllabus


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

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