Course detail

Distributed Application Environment

FIT-PDIAcad. year: 2013/2014

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. Distributed database systems. 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.

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

The course uses teaching methods in form of Lecture - 3 teaching hours per week, Computer exercise - 1 teaching hour per week, Projects - 1 teaching hour per week.

Assesment methods and criteria linked to learning outcomes

Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.

  • not applicable

Course curriculum

Syllabus of lectures:
  1. Common characteristics of distributed environments
  2. Model of distributed computations    
  3. Logical Time
  4. Global State
  5. Group Communication
  6. Terminal Detection
  7. RPC, XML-RPC, CORBA, Real-time CORBA
  8. Mutual exclusion
  9. Consensus and agreement
  10. SOA, SOAP, Enterprise Applications
  11. Complex Event Processing
  12. Programming languages for large distributed systems
  13. Security in Distributed Systems

Syllabus - others, projects and individual work of students:
  • Implementation of distributed application in CORBA environment
  • Implementation of simulation model for selected distributed algorithm.

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

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

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

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

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme IT-MGR-2 Master's

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

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

Syllabus

  1. Common characteristics of distributed environments
  2. (no lecture)
  3. Model of distributed computations    
  4. Logical Time
  5. Global State
  6. Group Communication
  7. Terminal Detection
  8. RPC, XML-RPC, CORBA, Real-time CORBA
  9. Mutual exclusion
  10. Consensus and agreement
  11. SOA, SOAP, Enterprise Applications
  12. Complex Event Processing
  13. Programming languages for large distributed systems

Exercise in computer lab

6 hours, optionally

Teacher / Lecturer

Project

13 hours, optionally

Teacher / Lecturer