Introduction to core topics in distributed and parallel computation. System models, parallel vs. distributed systems, communication, locality, concurrency, non-determinism, fault tolerance, distributed algorithms, and parallel programming. Prerequisite: CMPS 3600 and 3620 Fundamental concepts of Operating Systems
Networking and communication
Knowledge of a high-level programming language (C preferred) 3 semester units. 2 units lecture (100 minutes), 1 unit lab (150 minutes). Required for CS Distributed Systems: Concepts and Design, 5th edition, George Coulouris, Jean Dollimore, Tim Kindberg, Gordon Blair, Addison-Wesley publishing, 2011, ISBN-13 9780132143011. A guide to parallel and distributed programming is also recommendedi for the laboratory and programming assignments. One such guide is:
Introduction to Reliable and Secure Distributed Programming, Christian Cachin, Rachid Guerraoui, Luis Rodrigues, Springer, 2011, ISBN-13: 978-3-642-15259-7 (print) and 978-3-642-15260-3 (online). Melissa Danforth, Donna Meyers This course covers the following ACM/IEEE CS2013 (Computer Science) Body of Knowledge student learning outcomes:

Parallel and Distributed Computing (PD):
CS-PD/Parallelism Fundamentals
CS-PD/Parallel Decomposition
CS-PD/Communication and Coordination
CS-PD/Parallel Algorithms, Analysis, and Programming
CS-PD/Parallel Architecture
CS-PD/Distributed Systems

System Fundamentals (SF):
CS-SF/Computational Paradigms
CS-SF/Parallelism
CS-SF/Reliability through Redundancy

The course maps to the following performance indicators for Computer Science (CAC/ABET):

(CAC PIc1): Identify constraints on the design problem and establish criteria for acceptability of solutions.

(CAC PIg1): Understand impact of computing solutions on society and the environment in a global economic context.

(CAC PIg3): Consider a variety of available options in computing design and make a proper choice based on their impact.

(CAC PIj1): Understand performance and cost as these relate to software/firmware-based and hardware-based implementations.

Week(s)	Chapter(s)	Topics
1	Chapters 1 and 7	Introduction to distributed systems, Distributed vs. parallel, Review of OS concepts
2	Chapters 7, 3 and 11	OS review continued, Review of networking concepts and communication security
3	Chapter 2	System models: fundamental, physical, and architectural
4	Chapter 4	Communication: interprocess communication
5	Chapters 5 and 6	Communication: remote invocation and indirect communication
6	Chapter 14	Distributed algorithms: introduction, time and state
7	Chapters 14 and 15	Distributed algorithms: time and state continued, coordination and agreement
8	Chapter 15	Distributed algorithms: coordination and agreement continued
9	Chapter 16	Shared Data: transactions and concurrency
10	Chapters 16 and 17	Shared Data: distributed transactions
11	Chapters 17 and 18	Shared Data: redundancy, replication, fault tolerance
12	Outside Information	Programming challenges with distributed algorithms and parallel architecture
13	Chapters 8 and 10	Middleware: objects and components, services
14	Chapters 12 and 13	Distributed systems in practice: file systems, name services
15	Chapters 19 and 20	New paradigms: Ubiquitous computing and Cloud services

Not applicable to this course. Melissa Danforth on 31 July 2014 Approved by CEE/CS Department on [date]
Effective Fall 2016