Advanced Network Management-spring2016

Announcements

May 28th: materials for week 15-16 updated

May 22nd: papers/slides for Week 14 updated

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General Information

Course Number

80240663

Class Time

9:50am-12:15pm Wednesday

Room

Six-Jiao 6B-410

Project task deadlines

Project 1: Analyzing Search Logs in Practice

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

Course Number

80240663

Credit

Required text

None.

Reference texts

Computer Networking: Top-Down Approach (6th Edition)
by James F. Kurose, Keith W. Ross.
Statistical Data Mining Tutorials
by Andrew Moore.

Prerequisites

You are expected to be familiar with at least one programming language. You should have taken an undergraduate Computer Networks or related course.

Grade

Attendence: 20%; Project 1:40%; Project 2: 40%

Project

Each project has a mentor, and each student finishes each project by himself or herself.

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

Spring 2015

Tsinghua NetMan Lab