Announcements
May 28th: materials for week 15-16 updated
May 22nd: papers/slides for Week 14 updated
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General Information
- task1: 03/23 11:59pm
- task2: 04/06 11:59pm
- task3: 04/27 11:59pm
Project 2: Investigating Factors that affect WiFi Latency
- task1: 05/11 11:59pm
- task2: 05/18 11:59pm
- task3: 06/01 11:59pm
Personnel
- Instructor: Dan Pei
Associate Professor
Department of Computer Science and Technology
Tsinghua University, Beijing, China 10084
+86(10)62792837
Office: East Main Building 9-319
Mail: [email protected]
- Teaching Assistant: Ping Liu [email protected]
- Project 1 mentor: Dapeng Liu liudp10(at)mails(dot)tsinghua(dot)edu(dot)cn
- Project 2 mentor: Changhua Pei [email protected]
Course Description
by James F. Kurose, Keith W. Ross.
Statistical Data Mining Tutorials
by Andrew Moore.
Syllabus
This course is a graduate course and is primarily project-oriented. It aims to teach students how to build REAL systems that measure the REAL data from the networks and services, process the using Big Data techniques such as Machine Learning, and solve their REAL performance and security problems.
Through case studies based on recent research papers in top network conferences, this course will cover the latest research progress in network management in these areas: measurement, anomaly detection, diagnosis, and mitigation. Along the way, we will also briefly review techniques that have broader applications more than just network management, such as time series analysis, association rule mining, and machine learning.
This course focuses on how to improve the performance of Mobile Internet:
- Targeted Services: Web-based Services such as search engine, online shopping and social networking; Video Streaming Services.
- Targeted Networks: Enterprise WiFi Network, Residential WiFi & Broadband Networks, Cellular Networks, and Data Center Networks.
- Targeted Devices: Smart Phones.
Lectures
Week | Date | Topic, Papers, Slides and Reading List |
1 | Feb 24 | Course Introduction & Network Basics |
2 | Mar 2 | Web-based services (1) |
3 | Mar 9 | Web-based services (2) |
4 | Mar 16 | Web-based services (3) |
5 | Mar 23 | Anomaly detection |
6 | Mar 30 | Video streaming (1) |
7 | Apr 6 | Video streaming (2) |
8 | Apr 13 | No Class. Read Smart phone reading list |
9 | Apr 20 | Smart phone |
10 | Apr 27 | WiFi |
11 | May 4 | No Class. Tsinghua Holiday |
12 | May 11 | Anomaly localization |
13 | May 18 | Dependency Discovery |
14 | May 25 | Root Cause Analysis |
15 | Jun 1 | Big Data Analytics System (1) |
16 | Jun 8 | Big Data Analytics System (2) |
Previous Course
Related Links
- Conferences
Computer Science Conference Search SIGCOMM MobiCom IMC CoNEXT NSDI
Mobiles SIGKDD OSDI USENIX Security UbiComp WWW INFOCOM VLDB
- Statistics and Machine Learning Tools
Wikipedia R WEKA Scikit-learn Correlation Tests Matlab SPSS
- Public Resources
Longman Dictionary of American English
Time Series Analysis: Forecasting and Control (4th Edition) by George E. P. Box, Gwilym M. Jenkins, Gregory C. Reinsel.
Big Data Systems course materials by Professor Zhi Wang
Internet Measurement Data Catalog
- On reading and writting papers
Using tenses in scientific writing
Efficient Reading of Papers in Science and Technology
Style: Lessons in Clarity and Grace
How to Write and Publish a Scientific Paper
- Research Advice
How to Have a Bad Career in Research/Academia
How to Increase the Chances Your Paper is Accepted at ACM SIGCOMM