DISTRIBUTED COMPUTING SYSTEMS

AIM

The aim of the Distributed Computational Systems course is to provide students with a comprehensive understanding of the fundamental principles, design, applications, and the role of distributed systems in modern information technologies.

CONTENT

This course contains; Introduction to Distributed Systems,System Models,Communication in Distributed Systems,Processes and Coordination,Time and Global States,Distributed File Systems,Name Services,Consistency and Replication,Fault Tolerance,Security in Distributed Systems,Peer-toPeer Systems and Overlay Networks,Cloud Computing and Virtualization,Big Data and Distributed Data Processing,Emerging Trends and Future Directions.

1. 1

   The architecture of distributed systems dominates their structure.

   Taught by: Lecture Method · Assessed by: Traditional Written Exam, Homework

2. 2

   It specializes in distributed data management and processing.

   Taught by: Lecture Method · Assessed by: Traditional Written Exam, Homework

3. 3

   Have knowledge of high availability and scalability strategies.

   Taught by: Lecture Method · Assessed by: Traditional Written Exam, Homework

4. 4

   Understands security and privacy challenges and understands methods and technologies to overcome these challenges.

   Taught by: Lecture Method · Assessed by: Traditional Written Exam, Homework

5. 5

   Explores cloud computing services and platforms.

   Taught by: Lecture Method · Assessed by: Traditional Written Exam, Homework

WEEKLY PLAN

1. WEEK 1

   Introduction to Distributed Systems

2. WEEK 2

   System Models

3. WEEK 3

   Communication in Distributed Systems

4. WEEK 4

   Processes and Coordination

5. WEEK 5

   Time and Global States

6. WEEK 6

   Distributed File Systems

7. WEEK 7

   Name Services

8. WEEK 8

   Consistency and Replication

9. WEEK 9

   Fault Tolerance

10. WEEK 10

    Security in Distributed Systems

11. WEEK 11

    Peer-toPeer Systems and Overlay Networks

12. WEEK 12

    Cloud Computing and Virtualization

13. WEEK 13

    Big Data and Distributed Data Processing

14. WEEK 14

    Emerging Trends and Future Directions

ASSESSMENT

• Rate of Midterm Exam to Success50%
• Rate of Final Exam to Success50%

WORKLOAD

READING

• M. van Steen and A.S. Tanenbaum, Distributed Systems, 4th ed., distributed-systems.net, 2023.
• Kshemkalyani, A.D. and Singhal, M. (2012) Distributed computing principles, algorithms and systems. Cambridge: Cambridge University Press. Coulouris, G. et al. (2012) Distributed systems: Concepts and design. Harlow, England: Addison-Wesley.

TEACHING STAFF

• Prof.Dr. Reda ALHAJJCOORDINATOR
• Prof.Dr. Reda ALHAJJ