Distributed Programming
General Course Information
Edirlei Soares de Lima
<edirlei.lima@universidadeeuropeia.pt>
Distributed Programming
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Professor: Edirlei Soares de Lima
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Education:
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B.Sc. in Computer Science – UnC
M.Sc. in Computer Science – UFSM
Ph.D. in Computer Science – PUC-Rio
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Teaching Experience: PUC-Rio, UNIRIO, UERJ, IADE-UE
Game Experience:
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Game Engines: RPG Builder, 3D Game Builder;
Research Projects: most are related with Logtell (http://www.icad.puc-rio.br/~logtell/);
Games: Krimson (Best Game Award at SBGames 2010 – Indie Game Development
Festival), and several other prototype games.
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More Information: https://edirlei.com/
What is Distributed Programming?
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Distributed computing is a field of
computer science that studies
distributed systems.
A distributed system is a system
whose components are located on
different networked computers,
which then communicate and
coordinate their actions by passing
messages to each other.
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Distributed programming involves
the implementation of distributed
systems.
Distributed Programming
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Games & Apps Development:
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Study of the paradigm of distributed programming, distributed
systems, and data communication solutions;
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Study of the C++ programming language, and its use in the Unreal
Engine for network communication.
Learning Outcomes:
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. Implement games and general applications using the paradigm of
distributed programming.
. Understand the main models for distributed programming and
distributed systems.
. Implement client-server and peer-to-peer games using C++ and
Unreal Engine.
. Assess aspects related with the performance of distributed systems,
their advantages, and their shortcomings.
Distributed Programming
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Module Content:
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. Introduction to distributed systems and distributed programming;
. Processes, threads and synchronization;
. Distributed systems architectures;
. Unreal Engine and network communication;
. REST web services and HTTP communication in C++ on Unreal Engine;
. TCP and UDP communication in C++ on Unreal Engine;
Method
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Active and experiential learning:
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Theoretical concepts;
Practical examples;
Implementation exercises;
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Game framework: Unreal Engine
Semester’s PBL team project:
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Implementation of the game using the methods learned during the
course (architecture, communication, and performance).
Evaluation
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Continuous Assessment:
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[70%] Intermediate assessment:
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[60%] Individual exercises on the concepts learned;
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[40%] Two intermediate deliveries of the team project (within the
semester’s PBL team project).
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[30%] End of term assessment:
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[100%] Final delivery of the team project (within the semester’s PBL team
project) with individual discussion.
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Final Assessment:
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[100%] Practical exam on the concepts learned;
Evaluation
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Project Deliveries:
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1st delivery: identification of the communication necessities and
definition of the architectural model.
2nd delivery: working prototype with basic network communication:
basic gameplay synchronization.
3rd delivery: final version: full gameplay synchronization + external
matchmaking server.
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The manual implementation of the message exchange process is mandatory for the
communication with the matchmaking server.
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The final delivery of the project must include a report about the distributed
architectural model of the game.
Bibliography
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Carnall, B. (2016). Unreal Engine 4.X By
Example. Packt Publishing. ISBN: 978-
785885532.
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Coulouris, G., Dollimore, J., Kindberg, T., Blair,
G. (2004). Distributed Systems: Concepts and
Design (5th edition), Pearson. ISBN: 978-
0
132143011.
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Glazer, J., Madhav, S. (2015). Multiplayer
Game Programming: Architecting Networked
Games. Addison-Wesley Professional. ISBN:
9
78-0134034300.
Distributed Programming
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Canvas: Distributed Programming
Course webpage:
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https://edirlei.com/distributedprogramming
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Contact:
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edirlei.slima@gmail.com