Course details

Distributed Application Environment

PDI Acad. year 2013/2014 Winter semester 5 credits

Current academic year

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.

Guarantor

Zendulka Jaroslav, doc. Ing., CSc.

Language of instruction

Czech, English

Completion

Examination

Time span

  • 39 hrs lectures
  • 6 hrs pc labs
  • 13 hrs projects

Department

Department of Information Systems (UIFS)

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.

  • 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 knowledge and skills

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

Fundamental literature

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

Syllabus of lectures

  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

Progress assessment

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

  • not applicable

Teaching methods and criteria

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.

Controlled instruction

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

Course inclusion in study plans

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