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    Distributed Systems and Domain-Specific Modeling

    A tantárgy neve magyarul / Name of the subject in Hungarian: Elosztott rendszerek és szakterületi modellezés

    Last updated: 2015. november 13.

    Budapest University of Technology and Economics
    Faculty of Electrical Engineering and Informatics
    MSc degree program in Engineering Information Technology
    Applied Informatics
    Course ID Semester Assessment Credit Tantárgyfélév
    VIAUMA01 1 2/1/0/v 4  
    3. Course coordinator and department Dr. Charaf Hassan,
    4. Instructors

    Name:

    Position:

    Department:

     

    Dr. Charaf Hassan

    Associate professor

    Dept. of Automation and Applied Informatics

    Dr. Mezei GergelyAssociate professor

    Dept. of Automation and Applied Informatics

    5. Required knowledge Object-oriented programing, Software techniques
    6. Pre-requisites
    Kötelező:
    NEM ( TárgyEredmény( "BMEVIAUM124" , "jegy" , _ ) >= 2
    VAGY
    TárgyEredmény( "BMEVIAUM126" , "jegy" , _ ) >= 2
    VAGY
    TárgyEredmény( "BMEVIMIMA00" , "jegy" , _ ) >= 2
    VAGY
    TárgyEredmény("BMEVIAUM124", "FELVETEL", AktualisFelev()) > 0
    VAGY
    TárgyEredmény("BMEVIAUM126", "FELVETEL", AktualisFelev()) > 0
    VAGY
    TárgyEredmény("BMEVIMIMA00", "FELVETEL", AktualisFelev()) > 0
    VAGY
    TárgyEredmény( "BMEVIAUMA22" , "jegy" , _ ) >= 2
    VAGY
    TárgyEredmény("BMEVIAUMA22", "FELVETEL", AktualisFelev()) > 0)

    A fenti forma a Neptun sajátja, ezen technikai okokból nem változtattunk.

    A kötelező előtanulmányi rend az adott szak honlapján és képzési programjában található.

    7. Objectives, learning outcomes and obtained knowledge
    The goal of this course is to teach component-based technologies, the usage of middleware services, distributed systems, asynchronous communication, reliability, security, scalability, distributed state handling and monitoring. Furthermore, the goal is to teach domain-specific languages and modeling techniques, model processing and using these techniques in creating software. 
    8. Synopsis

     

    Lecture content

    1.

    Introduction to distributed systems. Theoretical background, designing and implementing distributed information systems. 

    2.

    Paradigms of ooObject-, and software components, standardized architectures (DCOM, CORBA), code reuse, component-based programming.

    3.

     Component technologies. Possible realizations of distributed software, the design aspects of component-based systems, communication between the applications.

    4.

    Middleware services, transactions, asynchronous operation (MTS, MSMQ)

    5.

    Security, reliability and asynchronicity in distributed environment, distributes state management, multi threaded programming, multitier architectures.

    6.

     Distributed data handling and visualization, scalability - questions and solutions

    7.

    Tipical distributed architectures (e.g. P2P), case studies

    8.

    Introduction to domain-specific modeling. Model-driven software development. Case studies and motivation.

    9.

    Software modeling, textual languages. 

    10.

    Visual languages, constraints (OCL). 

    11.

    Concrete syntax (textual and visual languages), semantics (informal, operational, denotational, axiomatic)

    12.

    Generative programming, model processing

    13.

    Graph rewriting and graph transformations

    14.

    Simulation techniques (DESS, DTSS, DEVS)

     

     

    Seminar content

    1.

    Distributed architectures, designing principles based on a case study

    2.

    Using standardized architectures - based on case studies. Creating a distributed system in practice.

    3.

    Performance metrics of distributed techniques, fine tuning, scaling and monitoring the systems. Illustrating the security aspects.

    4.

    Using domain-specific languages in practice. Design decisions, practical experiences. 

    5.

    Metamodeling and visual languages case studies

    6.

    Modell processing and code generation case studies

    7.

    Simulation in practice

    9. Method of instruction Lecture, seminar
    10. Assessment
    During the semester: one midterm exam
    In the exam period: written exam.
    The midterm exam yields 40%, and the exam yields 60% of the final grade.
    11. Recaps The midterm exam can be repeated during the repeat period in accordance with the Code of Studies and Exams.
    12. Consultations Arranged on demand by the lecturer or instructor.
    13. References, textbooks and resources
    Don Box, Essential COM, Addison-Wesley Professional, 1998.
    Mary Kirtland, Designing component-based applications, Microsoft Press, 1999.
    Errol Simon, Distributed information systems, McGraw-Hill, 1996.
    Jon Siegel, CORBA 3 Fundamentals and Programming, John Wiley & Sons, 2000.

    Krysztof Czarnecki, Ulrich Eisenecker, Generative Programming: Methods, Tools, and Applications, Addison-Wesley, 2000.
    Steven Kelly, Juha-Pekka Tolvanen, Domain-Specific Modeling: Enabling Full Code Generation, Wiley-IEEE Computer Society Press, 2008.
    Martin Fowler, Domain-Specific Languages, Addison-Wesley Professional, 2010

    14. Required learning hours and assignment
    Contact class42
    Preparation for the classes14
    Preparation for the midterm exam20
    Preparing homework-
    Reading assigned materials-
    Preparation for the final exam44
    Sum120
    15. Syllabus prepared by

    Name:

    Position:

    Department:

     

    Dr. Charaf Hassan

    Associate professor

    Dept. of Automation and Applied Informatics

    Dr. Mezei GergelyAssociate professor

    Dept. of Automation and Applied Informatics