CATALOG DESCRIPTION: Basic principles behind distributed systems (collections of independent components that appear to users as a single coherent system) and main paradigms used to organize them. 

  • This course satisfies the project requirement

COURSE COORDINATOR: Fabián E. Bustamante

DETAILED DESCRIPTION:
Distributed systems consists of a collection of independent computers that appears to its users as a single coherent system. While their early development followed the emergence of high-speed local area computer networks at the beginning of 1970s, the recent availability of powerful and cheap microprocessors and pervasive connectivity has brought the topic to everyone's attention. In this course we discuss some of the basic principles behind distributed systems and review some of the main paradigms used to organize them.

REQUIRED TEXTS: Andrew S. Tanenbaum and Maarten van Steen. Distributed Systems: Principles and Paradigms. Prentice Hall, 2nd Ed., 2006

GRADES: Grades are based on a term-long project, homework assignments, class participation and a take-home final exam.

LABORATORY PROJECTS
:

  • Wide-area testbed
  • Clusters 

COMPUTER USAGE

DETAILED COURSE TOPICS

1. Introduction: Distributed systems and their goals, hardware and software concepts, traditional and modern architectures for distributed systems.

2. Wide-area distributed systems and PlanetLab: Issues with wide-area distributed systems and brief introduction to PlanetLab.

3. Communication: Basics of communication, remote procedure calls, remote object invocation, message-oriented and stream-oriented communication.

4. Processes: Clients, servers, code migration and software agents.

5. Naming: Naming and locating entities, removing unreferenced entities.

6. Synchronization: Synchronization in distributed systems, logical time, global state, elections and mutual exclusion.

7. Consistency and replication: Data replication, scalability, and consistency

8. Fault tolerance: Making distributed systems fault tolerant; reliable and resilient multicasting.

9. Security: Secure communication and authorization in distributed systems.

10. Review of major distributed systems paradigms: object systems, file systems, document-based systems, and coordination-based systems

PREREQUISITES : EECS 340 and EECS 343

COURSE GOALS: To teach the fundamental concepts and working details of distributed systems and the underlying technologies. Topics include distributed systems architectures, processes, communication and synchronization, consistency and replication, fault-tolerance and security. 

COURSE OUTCOMES: Having successfully completed the course, students will able to

  1. Present a conceptual model of distributed systems
  2. Describes key components of a distributed system and evaluate the tradeoffs of alternative architectural models
  3. Suggest algorithm suitable for application in distributed systems .
  4. Build prototype implementations of distributed systems
  5. Demonstrate an understanding of the challenges faced by future distributed systems