Course details
Distributed Application Environment
PDI Acad. year 2014/2015 Winter semester 5 credits
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
Language of instruction
Completion
Time span
Department
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 seminars
- Common characteristics of distributed environments
- Model of distributed computations
- Logical Time
- Global State
- Group Communication
- Terminal Detection
- RPC, XML-RPC, CORBA, Real-time CORBA
- Mutual exclusion
- Consensus and agreement
- SOA, SOAP, Enterprise Applications
- Complex Event Processing
- Programming languages for large distributed systems
- 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.
Progress assessment
Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.
- not applicable
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