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Distributed Computing

What Will Learn?

  • Course Aims
  • Course Goals
  • Affordable and Clean Energy
  • Industry, Innovation and Infrastructure
  • Sustainable Cities and Communities
  • Responsible Consumption and Production

Requirements

CSE241 AND CSE361

Description

  • English Description

    Overview of distributed computing. Client-server paradigm: Protocols, Simple client-server messaging systems, Remote procedure calls, Remote method invocation, Remote object invocation systems. Message-oriented middleware systems. Advanced messaging systems: Transient, Persistent. Naming: Flat, Structured, Attribute-based. Distributed processes. Distributed synchronization. Peer-to-Peer (P2P) systems. Distributed file systems. Distributed coordination systems. Replication and consistency. Fault tolerance. Distributed and multi computing models and protocols.
  • Arabic Description

    Overview of distributed computing. Client-server paradigm: Protocols, Simple client-server messaging systems, Remote procedure calls, Remote method invocation, Remote object invocation systems. Message-oriented middleware systems. Advanced messaging systems: Transient, Persistent. Naming: Flat, Structured, Attribute-based. Distributed processes. Distributed synchronization. Peer-to-Peer (P2P) systems. Distributed file systems. Distributed coordination systems. Replication and consistency. Fault tolerance. Distributed and multi computing models and protocols.
  • Department
    Computer and Systems Engineering
  • Credit Hours
    3
  • Grades
    Total ( 100 ) = Midterm (20) + tr.Major Assessment (25 = tr.Industry 0% , tr.Project 15% , tr.Self_learning 5% , tr.Seminar 10% ) + tr.Minor Assessment (5) + tr.Oral/Practical (10) + Exam Grade (40)
  • Hours
    Lecture Hours: 2, Tutorial Hours: 2, Lab Hours: 1
  • Required SWL
    100
  • Equivalent ECTS
    4
  • - Gacovski Zoran. 2019. Parallel and Distributed Computing Applications. Ashland: Arcler Press.