Distributed Systems and Computing
- Department of Computer Systems
Students are introduced to methods for coordination of processes in distributed environment characterised by nondeterministic time responses of computing processes and communication channels. They learn basic algorithms that assure correctness of computations realized by a group of loosely coupled processes and mechanisms that support high availability of both data and services, and safety in case of failures.
Basic knowledge in the area of operating systems, computer networks and communication.
- Syllabus of lectures:
1. Distributed applications, communication methods
2. Procedural communication - XML-RPC, CORBA, Java RMI, SOAP/RESTful
3. Model of distributed computation, simple examples
4. Snapshots of distributed computation, logic time
5. Wave algorithm, algorithm symmetry - server selection
6. Exclusive access algorithms
7. Deadlock prediction and detection - on resource sharing and communication
8. Termination of distributed application, quoras
9. Data sharing and replication, distributed databases
10. P2P systems and DHT technologies
11. Agent applications, mobility of computation
12. Architecture of clouds technologies, computation methods
- Syllabus of tutorials:
1. Practices introduction
2. Java RMI
6. Semestral project presentation
- Study Objective:
The module focuses on the distributed computation viewed as an asynchronous cooperation of a group of finite state machines. Substantial part of the lectures is devoted to typical distributed computing techniques: ensuring causality, exclusive access, dealing with deadlocks, fault protection, mobility of computation, and security. The course is concluded with an overview of techniques for distributed data storages using the DHT (Distributed Hash Table) method and an overview of systems with mobile computing components.
- Study materials:
Janeček J.: Distribuované systémy. (in Czech language)
Janeček J., Kubr J., Červený M.: Distribuované systémy - cvičení. (in Czech language)
Tanenbaum A. S.: Distributed Systems: Principles and Paradigms (2nd Edition).
Tel G.: Introduction to Distributed Algorithms.
Lynch N.A.: Distributed Algorithms.
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
- Computer Security, Presented in Czech, Version 2020 (VO)
- Design and Programming of Embedded Systems, Presented in Czech, Version 2020 (VO)
- Computer Systems and Networks, Presented in Czech, Version 2020 (PS)
- Management Informatics, Presented in Czech, Version 2020 (VO)
- Software Engineering, Presented in Czech, Version 2020 (VO)
- System Programming, Presented in Czech, Version 2020 (VO)
- Web Engineering, Presented in Czech, Version 2020 (VO)
- Knowledge Engineering, Presented in Czech, Version 2020 (VO)
- Specialization Computer Science, Presented in Czech, Version 2020 (VO)
- Master's Program Informatics, Plan for students without Specialization, in Czech, 2020 (VO)