Course detail
Distributed Application Environment
FIT-PDIAcad. year: 2024/2025
Common characteristics of distributed environments. Principles, algorithms, and systems of distributed computing. Types of distributed environments. Design and model of distributed algorithms. Distributed operating and file systems. Cloud Computing. Data-centric computing. Web services. Security in distributed applications.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
- knowledge of programming
- knowledge discrete mathematics
- basic knowledge of computer networks
Rules for evaluation and completion of the course
- Mid-term written examination - 15 points
- Laboratory exercises - 10 points
- Evaluated project with the defense - 20 points
- Final written examination - 55 points
- 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 defense in the form of presentation of results.
Aims
The aim is to understand the principles and design of applications for distributed environments, obtain an overview of modern distributed environments, and ability of usage application interfaces for various programming environments.
The students will become familiar with concepts and principles of distributed environments, with the design and implementation of applications for distributed environments and security aspects in distributed environments.
- A student learns terminology in the domain of DS
- A student learns to create small projects
- A student learns to present and defend the results of the small project
Study aids
Prerequisites and corequisites
Basic literature
Recommended reading
S. Saxena, S. Gupta: Real-Time Big Data Analytics, Packt Publishing, 2016.
Elearning
Classification of course in study plans
- Programme MITAI Master's
specialization NGRI , 0 year of study, winter semester, elective
specialization NADE , 0 year of study, winter semester, compulsory
specialization NISD , 0 year of study, winter semester, elective
specialization NMAT , 0 year of study, winter semester, elective
specialization NSEC , 0 year of study, winter semester, elective
specialization NISY up to 2020/21 , 0 year of study, winter semester, elective
specialization NNET , 0 year of study, winter semester, compulsory
specialization NMAL , 0 year of study, winter semester, elective
specialization NCPS , 0 year of study, winter semester, elective
specialization NHPC , 0 year of study, winter semester, elective
specialization NVER , 0 year of study, winter semester, elective
specialization NIDE , 0 year of study, winter semester, elective
specialization NISY , 0 year of study, winter semester, elective
specialization NEMB , 0 year of study, winter semester, elective
specialization NSPE , 0 year of study, winter semester, elective
specialization NEMB , 0 year of study, winter semester, elective
specialization NBIO , 0 year of study, winter semester, elective
specialization NSEN , 0 year of study, winter semester, elective
specialization NVIZ , 0 year of study, winter semester, elective
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Principles and models of distributed computation
- Physical and Logical Time
- Global State and Snapshot Algorithms
- Group communication
- Authentication in Distributed Systems
- Graph and Routing Algorithms
- Algorithms of Leader Election and Mutual Exclusion
- Virtualization and Cloud Computing
- MapReduce Programming Model and Apache Hadoop
- Principles of Apache Spark
- Distributed Stream Processing in Apache Flink
- Enterprise Service Bus
- Distributed computing with BOINC
Exercise in computer lab
Teacher / Lecturer
Syllabus
- Apache Hadoop/Spark
- Windows Azure Applications
Project
Teacher / Lecturer
Syllabus
- Implementation of a distributed application in the given target environment (Spark, Flink, Azure, Hadoop,...).
Elearning