Course details
Distributed Application Environment
PDI Acad. year 2020/2021 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. Cloud Computing. Technology JSP, J2EE, JavaBeans, EJB, RPC, XML-RPC, SOAP, IIOP. Web services. Technology CORBA, COM, DCOM. Security in distributed applications.
Guarantor
Deputy Guarantor
Language of instruction
Completion
Time span
Assessment points
Department
Lecturer
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT)
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT)
Instructor
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.
Generic learning outcomes and competences
- 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.
Why is the course taught
The course acquaints students with current technologies of distributed systems, which will enable them to participate in the development of modern applications for large data processing.
Prerequisite kwnowledge and skills
- knowledge of programming
- knowledge discrete mathematics
- basic knowledge of computer networks
Study literature
- B. Burns: Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services, O'Reilly Media, 1st edition, 2018.
- S. Kshemkalyani: Distributed Computing, Cambridge Press, 2008.
- selected research papers
Fundamental literature
- 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
Syllabus of lectures
- 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
Syllabus of laboratory exercises
- Apache Hadoop
- Microsoft Azure
Syllabus - others, projects and individual work of students
- Implementation of distributed application in the given target environment (CORBA, Azure, Hadoop,...).
Progress assessment
- Mid-term written examination - 15 points
- Laboratory exercises - 10 points
- Evaluated project with the defense - 20 points
- Final written examination - 55 points
Controlled instruction
- 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.
Exam prerequisites
- not applicable
Schedule
Day | Type | Weeks | Room | Start | End | Lect.grp | Groups | Info |
---|---|---|---|---|---|---|---|---|
Mon | lecture | lectures | G202 | 10:00 | 11:50 | 1MIT 2MIT | NADE NNET xx | |
Tue | exam | 2021-01-26 | E104 | 09:00 | 10:50 | 1MIT 2MIT | 1. oprava | |
Wed | exam | 2021-01-06 | M103 M104 M105 N103 N104 | 16:00 | 17:50 | 1MIT 2MIT | řádná | |
Wed | comp.lab | 2020-11-25 | N204 N205 | 16:00 | 17:50 | cv. Hadoop/Spark | ||
Thu | exam | 2021-02-04 | E104 | 16:00 | 17:50 | 1MIT 2MIT | 2. oprava |
Course inclusion in study plans
- Programme IT-MSC-2, field MBI, MBS, MIN, MMI, MMM, any year of study, Elective
- Programme IT-MSC-2, field MGM, any year of study, Compulsory-Elective group I
- Programme IT-MSC-2, field MIS, 2nd year of study, Compulsory-Elective group N
- Programme IT-MSC-2, field MPV, any year of study, Compulsory-Elective group C
- Programme IT-MSC-2, field MSK, 2nd year of study, Compulsory
- Programme MITAI, specialisation NADE, NNET, any year of study, Compulsory
- Programme MITAI, specialisation NBIO, NCPS, NEMB, NGRI, NHPC, NIDE, NISD, NISY, NMAL, NMAT, NSEC, NSEN, NSPE, NVER, NVIZ, any year of study, Elective