Spring 2018 - CMPT 431 D100
Distributed Systems (3)
Class Number: 12458
Delivery Method: In Person
Course Times + Location:
We 1:30 PM – 2:20 PM
SUR 3240, Surrey
Fr 12:30 PM – 2:20 PM
SUR 3240, Surrey
Exam Times + Location:
Apr 21, 2018
12:00 PM – 3:00 PM
SUR 3310, Surrey
1 778 782-8639
Office: SUR 4134
Prerequisites:CMPT 300, 371.
An introduction to distributed systems: systems consisting of multiple physical components connected over a network. Architectures of such systems, ranging from client-server to peer-to-peer. Distributed systems are analyzed via case studies of real network file systems, replicated systems, sensor networks and peer-to-peer systems. Hands-on experience designing and implementing a complex distributed system. Students with credit for CMPT 401 before September 2008 may not take this course for further credit.
This course is about distributed computer systems: systems built of multiple independent components that communicate via network and coordinate their activity to accomplish a common computational task. We will focus on understanding the most difficult issues involved in design of such systems: failure modes, synchronization, coordination and agreement, maintaining data consistency, security, replication, etc. Course readings are based mostly on original research papers. A reading list will be provided on the course web page. There will be two programming assignments and one final project. A group project will take most of the semester and involve implementation of a distributed system. You will need to focus on challenging system design issues during the assignments and the project, so your programming skills must be solid.
COURSE-LEVEL EDUCATIONAL GOALS:
- Motivation for and characteristics of distributed systems. Architecture and design goals
- Synchronization and concurrency. Operating system support for concurrent programming
- Failure semantics in distributed systems
- Communication protocols
- Interprocess communication. RPC, RMI.
- Distributed file systems. Case studies: NFS, Google FS
- Applications: large-scale distributed simulations, e.g. real-time online games
- Mobile and ubiquitous computing
- Peer-to-peer systems
- Your grade will be based on homework and programming project assignments and class participation.
Distributed Systems. Principles and Paradigms. 2nd edition., Tanenbaum, Van Steen, Prentice Hall, 2006
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