Title:

Distributed Application Environment

Code:PDI
Ac.Year:2018/2019
Sem:Winter
Curriculums:
ProgrammeField/
Specialization
YearDuty
IT-MSC-2MBI-Elective
IT-MSC-2MBS-Elective
IT-MSC-2MGM-Compulsory-Elective - group I
IT-MSC-2MIN-Elective
IT-MSC-2MIS2ndCompulsory-Elective - group N
IT-MSC-2MMI-Elective
IT-MSC-2MMM-Elective
IT-MSC-2MPV-Compulsory-Elective - group C
IT-MSC-2MSK2ndCompulsory
Language of Instruction:Czech
Private info:http://www.fit.vutbr.cz/study/courses/PDI/private/
Credits:5
Completion:examination (written)
Type of
instruction:
Hour/semLecturesSeminar
Exercises
Laboratory
Exercises
Computer
Exercises
Other
Hours:2600620
 ExamsTestsExercisesLaboratoriesOther
Points:551510020
Guarantor:Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS)
Deputy guarantor:Rychlý Marek, RNDr., Ph.D. (DIFS)
Lecturer:Rychlý Marek, RNDr., Ph.D. (DIFS)
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS)
Instructor:Letavay Viliam, Ing. (DIFS)
Pluskal Jan, Ing. (DIFS)
Rychlý Marek, RNDr., Ph.D. (DIFS)
Faculty:Faculty of Information Technology BUT
Department:Department of Information Systems FIT BUT
 
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.
Description:
  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.
Knowledge and skills required for the course:
  
  • knowledge of programming
  • knowledge discrete mathematics
  • basic knowledge of computer networks
Subject specific learning outcomes and competencies:
  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 competencies:
  
  • 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
Syllabus of lectures:
 
  1. Principles of DS, Models of DS
  2. Logical Time
  3. Global State
  4. Group Communication, Election 
  5. Distributed Algorithms
  6. Interprocess Communication
  7. Cloud Technologies
  8. Map Reduce Programming Model
  9. Web Services
  10. Message Passing Interface
  11. Enterprise Service Bus
  12. Containers
  13. Complex Event Processing
Syllabus of laboratory exercises:
 
  1. Apache Hadoop
  2. Microsoft Azure
Syllabus - others, projects and individual work of students:
 
  • Implementation of distributed application in the given target environment (CORBA, Azure, Hadoop,...).
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
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
Progress assessment:
  
  • 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
 

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