Advanced Topics in Computer Networks (ATCN) 2019: Difference between revisions

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{{CourseDetails
{{CourseDetails
|credits=5 ECTS
|credits=5 ECTS
|module=M.Inf.223: Seminar Telematik III ''-or-'' M.Inf.224: Seminar Computernetzewerke II (old Regulations) ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|ta=[]
|time=Thu. 14:00-16:00
|time=Thu. 14:00-16:00
|place=IfI 0.101
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=236747&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&noDBAction=y&init=y]
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=244347&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung link]
}}
}}


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* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: prepare an essay (8~9 pages, single column) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~10 minutes Q&A
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A
 
==Schedule==
 
* 18 April 2019
**Informational Meeting
 
 
* 2 May 2019
**'''Improving our mental health'''
***Rui Wang, Weichen Wang, Alex daSilva, Jeremy F. Huckins, William M. Kelley, Todd F. Heatherton, Andrew T. Campbell, [https://dl.acm.org/citation.cfm?id=3191775 Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing], ACM UbiComp 2018. ('''Presented by Yuhan Wang''')
 
 
 
* 9 May 2019
**'''Improving our mental health'''
***Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang, [https://dl.acm.org/citation.cfm?id=3287073 Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure], ACM UbiComp 2018.  ('''Presented by Cong Li''')
 
 
 
*16 May 2019
**'''Improving our mental health'''
***Landu Jiang, Xinye Lin, Xue Liu, Chongguang Bi, Guoliang Xing, [https://dl.acm.org/citation.cfm?id=3161179 SafeDrive: Detecting Distracted Driving Behaviors Using Wrist-Worn Devices], ACM UbiComp 2018.  ('''Presented by Rezai, Masoud''')
 
 
 
* 23 May 2019
**'''Dynamic Adaptive Streaming over QUIC'''
***Perkins, Colin, and Jörg Ott, [https://csperkins.org/publications/2018/12/perkins2018rtp-quic.pdf Real-time Audio-Visual Media Transport over QUIC], EPIQ’18.  ('''Presented by Ding-Ze Hu''')
 
 
* 30 May 2019
***No Lecture
 
 
* 6 June 2019 (Final topics release)
***No Lecture
 
 
* 13 June 2019 '''Course time starts at 14:00pm'''
**'''Deep Learning For Anomaly Detection '''
***Soteris Demetriou, Puneet Jain, Kyu-Han Kim, [https://ieeexplore.ieee.org/abstract/document/8486281 CoDrive: Improving Automobile Positioning via Collaborative Driving], IEEE INFOCOM 2018. ('''Presented by Yuhan Wang''')


==Presentation Schedule==
TBD


==Schedule==
TBD


==Final Presentations & Report==
* 20 June 2019
**'''Cameras Everywhere (Each student selects one topic for review and submit the review report to StudIP)'''
***Georgios Kaiafas, Georgios Varisteas, Sofiane Lagraa, Radu State, Cu D Nguyen, Thorsten Ries, Mohamed Ourdane, [https://ieeexplore.ieee.org/abstract/document/8406295 Detecting malicious authentication events trustfully], IEEE IFIP 2018.  ('''Presented by Rezai, Masoud''')
***Anhong Guo, Anuraag Jain, Shomiron Ghose, Gierad Laput, Chris Harrison, Jeffrey P. Bigham, [https://dl.acm.org/citation.cfm?id=3264921 Crowd-AI Camera Sensing in the Real World], IEEE UbiComp 2018.  ('''Presented by Ding-Ze Hu''')


*Final Registration in '''FlexNow''': '''15th January 2019'''.


*Topics:
* 27 June 2019
**Wireless Content Caching
**'''Cameras Everywhere'''
**Dynamic Adaptive Streaming over HTTP or HTTP/2
***Erin Griffiths, Salah Assana, Kamin Whitehouse, [https://dl.acm.org/citation.cfm?id=3161198 Privacy-preserving Image Processing with Binocular Thermal Cameras], IEEE UbiComp 2018.  ('''Presented by Cong Li''')
**Deep Learning Based Human Activity Recognition
**Tracking and localization






*Pre-Presentation (Rehearsal):
* 4 July 2019
* 17 January 2019 '''(All students are required to come this time except the special case. Otherwise, you can not attend the final presentation.)'''
**'''Dynamic Adaptive Streaming over QUIC (Each student selects one topic for review and submit the review report to StudIP)'''  
***All students are divided into three group. Group 1: Jonas Hügel, Cong Li and Yachao Shao. Group 2: Tasnia Ashrafi Heya, Shichang Ding and Yuhan Wang. Group 3: Gulzaib Amjad, Robert Tasik and Fangxi Deng. From 14:00pm to 14:30pm, students within the group will help each other to check presentations. After that, we will discuss together for all students. '''Please take your laptop or your print version PPT to this course.'''
***Bastian Alt, Trevor Ballard, Ralf Steinmetz, Heinz Koeppl, Amr Rizk, [https://arxiv.org/abs/1901.05712 CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming], IEEE INFOCOM 2019. ('''Presented by Adhatarao, Sripriya Srikant''')
***Gadaleta, Matteo, et al., [https://ieeexplore.ieee.org/abstract/document/8048013 D-DASH: A Deep Q-Learning Framework for DASH Video Streaming], IEEE Transactions on Cognitive Communications and Networking 2017. ('''Presented by Adhatarao, Sripriya Srikant''')






*Final Presentation:
* 11 July 2019 (Final slides submission)
**Each for ~20 minutes, plus ~5 minutes Q&A ('''Please make sure that your presentation time is within 20 minutes''')
**'''Deep Learning For Anomaly Detection (Each student selects one topic for review and submit the review report to StudIP)'''
***Kun xie, Xiaocan Li, Xin Wang, Gaogang Xie, Jigang Wen, Jiannong Cao, Dafang Zhang, [https://dl.acm.org/citation.cfm?id=3180715 Fast Tensor Factorization for Accurate Internet Anomaly Detection], IEEE TON 2017.  ('''Presented by Fangxi Deng''')
***Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu, Qi Tan [ TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information], IEEE INFOCOM 2019.  ('''Presented by Fangxi Deng''')


==Final Presentations & Report==


*Final Registration in '''FlexNow''': '''Now to 10th July 2019'''.


*Final Presentation Slots:
* 24 January 2019 '''(The course time is from 13:50pm to 16:00pm)'''
**'''Dynamic Adaptive Streaming over HTTP or HTTP/2'''
***Chao Wu, Wenwu Zhu, Qiushi Li and Yaoxue Zhang, [https://dl.acm.org/citation.cfm?id=3123357 Rethinking HTTP Adaptive Streaming with the Mobile User Perception], ACM Multimedia 2017.  ('''Presented by Gulzaib Amjad''')
***Erwin Adi, Zubair Baig and Philip Hingston, [https://www.sciencedirect.com/science/article/pii/S1084804517301637 Stealthy Denial of Service (DoS) attack modelling and detection for HTTP/2 services], Journal of Network and Computer Applications 2018.  ('''Presented by Yuhan Wang''')
**'''Deep Learning Based Human Activity Recognition'''
***Liangying Peng, Ling Chen, Zhenan Ye and Yi Zhang, [https://dl.acm.org/citation.cfm?id=3214277 AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors], ACM UbiComp 2018.  ('''Presented by Yachao Shao''')
***Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Shaohan Hu, Dongxin Liu, Shengzhong Liu, Lu su and Tarek Abdelzaher, [https://dl.acm.org/citation.cfm?id=3264954 SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework], ACM UbiComp 2018.  ('''Presented by Tasnia Ashrafi Heya''')
***Abhinav Mehrotra and Mirco Musolesi, [https://dl.acm.org/citation.cfm?id=3264937 Using Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States], ACM UbiComp 2018.  ('''Presented by Shichang Ding''')


*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A




* 31 January 2019
*Final Presentation Slots:
**'''Wireless Content Caching'''
* 18 July 2019 '''(The course time is from 14:00pm to 18:00pm)'''
***Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai and Ramesh Sitaraman, [https://ieeexplore.ieee.org/abstract/document/8337092 Adaptive TTL-Based Caching for Content Delivery], IEEE/ACM Transactions on Networking 2018.  ('''Presented by Jonas Hügel''')  
**'''Anomaly Detection and IoT Security'''
***Jie Xu, Lixing Chen and Pan Zhou, [https://arxiv.org/abs/1801.05868 Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks], IEEE INFOCOM 2018.  ('''Presented by Cong Li''')  
***Subhendu Khatuya, Niloy Ganguly, Jayanta Basak, Madhumita Bharde, Bivas Mitra, [https://ieeexplore.ieee.org/abstract/document/8486257 ADELE: Anomaly Detection from Event Log Empiricism], INFOCOM 2018.  ('''Presented by Rezai, Masoud''')
**'''Tracking and localization'''
***Dang Tu Nguyen, Chengyu Song, Zhiyun Qian, Srikanth V. Krishnamurthy, Edward J. M. Colbert, Patrick McDaniel, [https://dl.acm.org/citation.cfm?id=3281440 IotSan: fortifying the safety of IoT systems], CoNEXT 2018.  ('''Presented by Yuhan Wang''')  
***Andreas Pfrunder, Paulo V. K. Borges, Adrian R. Romero, Gavin Catt and Alberto Elfes, [https://ieeexplore.ieee.org/abstract/document/8206083 Real-time autonomous ground vehicle navigation in heterogeneous environments using a 3D LiDAR], IEEE IROS 2017.  ('''Presented by Robert Tasik''')  
***Batiste Le Bars, Argyris Kalogeratos, [https://arxiv.org/abs/1902.04521 A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks], INFOCOM 2019.  ('''Presented by Cong Li''')  
***Yunting Zhang, Jiliang Wang, Weiyi Wang, Zhao Wang and Yunhao Liu, [https://ieeexplore.ieee.org/abstract/document/8486365 Vernier: Accurate and Fast Acoustic Motion Tracking Using Mobile Devices], IEEE INFOCOM 2018.  ('''Presented by Fangxi Deng''')  
**'''Wireless Networks'''
***Ben Zhang, Xin Jin, Sylvia Ratnasamy, John Wawrzynek, Edward A. Lee, [https://dl.acm.org/citation.cfm?id=3230554 AWStream: adaptive wide-area streaming analytics], SIGCOMM 2018. ('''Presented by Adhatarao, Sripriya Srikant''')
***Yanyuan Qin, Shuai Hao, K. R. Pattipati, Feng Qian, Subhabrata Sen, Bing Wang, Chaoqun Yue, [https://dl.acm.org/citation.cfm?id=3281439 ABR streaming of VBR-encoded videos: characterization, challenges, and solutions], CoNEXT 2018 (Best paper award).  ('''Presented by Fangxi Deng''')  
***Li Li, Ke Xu, Tong Li, Kai Zheng, Chunyi Peng, Dan Wang, Xiangxiang Wang, Meng Shen, Rashid Mijumbi, [https://dl.acm.org/citation.cfm?id=3230556 A measurement study on multi-path TCP with multiple cellular carriers on high speed rails], IEEE SIGCOMM 2018.  ('''Presented by Ding-Ze Hu''')  






*Final Report:
*Final Report:
**Essay (5~6 pages, double columns, IEEE format)
**Essay ( 5-6 pages, double columns, IEEE format)
**Due by 23:59pm 28 Feb. 2019
**Due by 23:59pm 30 August 2019


[[Category:Courses]]
[[Category:Courses]]

Latest revision as of 14:44, 25 July 2019

Details

Workload/ECTS Credits: 5 ECTS
Module: M.Inf.1222.Mp: Specialization Computer Networks Module Description
Lecturer: Prof. Xiaoming Fu; Dr. Yali Yuan
Teaching assistant: []
Time: Thu. 14:00-16:00
Place: IfI 0.101
UniVZ link


Course Overview

The purpose of this seminar is to discuss some advanced topics in computer networks. This course is a theory-oriented research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:

  • Weekly Presentation + Weekly Paper Reading and Discussion
  • Final Presentation
  • Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

Requirements

  • Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
    • Summary of the paper
    • Pros AND cons of the paper (your conclusion)
    • NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [Paper_Review_Form_ATCN_WS201112.doc]
  • During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
  • In the middle of the semester, everyone is requested to pick a topic and prepare:
    • Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
    • Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

Schedule

  • 18 April 2019
    • Informational Meeting






  • 30 May 2019
      • No Lecture


  • 6 June 2019 (Final topics release)
      • No Lecture



  • 20 June 2019
    • Cameras Everywhere (Each student selects one topic for review and submit the review report to StudIP)




  • 11 July 2019 (Final slides submission)
    • Deep Learning For Anomaly Detection (Each student selects one topic for review and submit the review report to StudIP)
      • Kun xie, Xiaocan Li, Xin Wang, Gaogang Xie, Jigang Wen, Jiannong Cao, Dafang Zhang, Fast Tensor Factorization for Accurate Internet Anomaly Detection, IEEE TON 2017. (Presented by Fangxi Deng)
      • Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu, Qi Tan [ TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information], IEEE INFOCOM 2019. (Presented by Fangxi Deng)

Final Presentations & Report

  • Final Registration in FlexNow: Now to 10th July 2019.


  • Final Presentation:
    • Each for ~20 minutes, plus ~10 minutes Q&A



  • Final Report:
    • Essay ( 5-6 pages, double columns, IEEE format)
    • Due by 23:59pm 30 August 2019
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