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Parallel and Distributed Systems

What Will Learn?

  • Course Aims
    To acquire knowledge on the structures and functions of parallel and distributed systems, and be able to understand and analyse modern current trends in this domain
  • Course Goals
  • Decent Work and Economic Growth
  • Industry, Innovation and Infrastructure
  • Sustainable Cities and Communities

Requirements

CSE351s

Description

  • English Description

    Motivations for parallel and distributed systems. Distributed architectural models. Distributed File System (DFS). Name service. Web services. Security in distributed systems. Coordination and agreement algorithms. Group communication and consensus algorithms. Replication and consistency. Distributed problem solving. Fault tolerance. Cloud computing: Properties and characteristics, Service models, Deployment models. Parallel systems. Instruction Level Parallelism (ILP). Parallel Random-Access Machines (PRAM). Cluster computing. Grid computing. Message passing systems and applications. Message Passing Interface (MPI): Principles, Cluster configuration, Programming algorithms, Implementation of PRAM through MPI. Peer-to-Peer (P2P) systems. Mobile agents. OpenMP.
  • Arabic Description

    Motivations for parallel and distributed systems. Distributed architectural models. Distributed File System (DFS). Name service. Web services. Security in distributed systems. Coordination and agreement algorithms. Group communication and consensus algorithms. Replication and consistency. Distributed problem solving. Fault tolerance. Cloud computing: Properties and characteristics, Service models, Deployment models. Parallel systems. Instruction Level Parallelism (ILP). Parallel Random-Access Machines (PRAM). Cluster computing. Grid computing. Message passing systems and applications. Message Passing Interface (MPI): Principles, Cluster configuration, Programming algorithms, Implementation of PRAM through MPI. Peer-to-Peer (P2P) systems. Mobile agents. OpenMP.
  • Department
    Computer and Systems Engineering
  • Credit Hours
    3
  • Grades
    Total ( 100 ) = Midterm (20) + tr.Student Activities (30 = tr.Industry 0% , tr.Project 10% , tr.Self_learning 0% , tr.Seminar 20% ) + Exam Grade (50)
  • Hours
    Lecture Hours: 2, Tutorial Hours: 2, Lab Hours: 0
  • Required SWL
    125
  • Equivalent ECTS
    5
  • - Parallel Computing: Concepts and Applications, Sean Brisley, Wilford press, 2018.
  • - Distributed Systems: Principles and Paradigms, A. S. Tanenbaum, M. Van Steen, Prentice Hall, 3rd edition, 2017.
  • - Distributed Systems: Concepts and Design, 5th ed, G. Coulouris, J. Dollimore T. Kindberg, Addison Wesley, 2011.