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| Class Location | CSIE Building, R110 |
|---|---|
| Class Hours | Tuesday 1:20-4:10pm |
| Instructor | Kate Lin |
| Email Address | ntu-dcn@googlegroups.com |
| Course Website | Datacenter Networks and Systems @NTU |
This course is designed to provide a comprehensive introduction to datacenter networks and systems. Students will learn how to design data center infrastructure for big data analytics, cloud services (e.g., Amazon EC2, Microsoft Windows Azure, and Google App Engine), and distributed machine learning (e.g., AllReduce, in-network computing, and NVidia NCCL).
The goal of this course is to study the key technologies and new challenges in data center networking and systems. The course will include paper presentations, discussions, and projects. The papers will be selected from top networking and systems conferences, organized in a bottom-up manner, to cover network infrastructure, routing and load balancing, congestion control, flow scheduling, networked systems, and applications.
Prerequisite (optional): Introduction to Computer Networks
All course readings, assignments, and other important information will be available on the course website. Please make sure to check it regularly.
| Assessment | Description | Deadline | Weight |
|---|---|---|---|
| Paper reading | Review reports for five research papers | 3/3, 3/24, 4/14, 4/28, 5/12 | 40% |
| Presentation | In-class presentation on one paper | based on the schedule | 30% |
| Project proposal | Research project proposal | 6/2, 6/9 | 20% |
| Participation | In-class participation | weekley (up to 5) | 10% |
Assignments submitted after the due date will be penalized at a rate of 10% per day, including weekends. No assignments will be accepted more than seven days late.
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