Course detail
Distributed Application Environment
FIT-PDIAcad. year: 2019/2020
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.
Supervisor
Department
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
vybrané vědecké články
B. Burns: Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services, O'Reilly Media, 1st edition, 2018.
S. Saxena, S. Gupta: Real-Time Big Data Analytics, Packt Publishing, 2016.
S. Kshemkalyani: Distributed Computing, Cambridge Press, 2008.
A. Tanenbaum, M. Steen: 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.
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
Syllabus
- Principles of DS, Models of DS
- Logical Time
- Global State
- Group Communication, Election
- Distributed Algorithms
- Interprocess Communication
- Cloud Technologies
- Map Reduce Programming Model
- Web Services
- Message Passing Interface
- Enterprise Service Bus
- Containers
- Complex Event Processing
Project
20 hours, compulsory
Teacher / Lecturer
Syllabus
- Implementation of distributed application in the given target environment (CORBA, Azure, Hadoop,...).