Advanced topics in mobile and social computing (AToMSC) (Winter 2021/2022): Difference between revisions

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|credits=5 ECTS
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-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 ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu];  [http://www.net.informatik.uni-goettingen.de/?q=people/dr-tingting-yuan, Dr. Tingting Yuan]
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu];  [http://www.net.informatik.uni-goettingen.de/?q=people/dr-tingting-yuan, Dr. Tingting Yuan]; Weijun Wang [weijun.wang@informatik.uni-goettingen.de]
|ta=[NA]
|ta=[NA]
|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=267543&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=277714&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}
}}


==Announcements==
==Announcements==
Please contact me by email: tingting.yuan@cs.uni-goettingen.de if you have any questions.
Please contact me by email: weijun.wang@informatik.uni-goettingen.de or tingting.yuan@cs.uni-goettingen.de if you have any questions.
Choose your topic and email Tingting.
 
<span style="color:red">
!!! the first classs is on Oct. 28 14:00-15:00
online: https://us04web.zoom.us/j/71958302946?pwd=L0hTYmFkVG5jZXo5TU51Q0xYN1VIZz09
</span>.


==Course Overview==
==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 comprises the following components:
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 comprises the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion 40%
* Weekly Presentation + Weekly Paper Reading and Discussion 50%
* Final Presentation 25%
* Final Presentation 25%
* Final Report 35%
* Final Report 25%


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.
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.
Line 34: Line 38:


==List of Papers ==
==List of Papers ==
1. Lightweight and Robust Representation of Economic Scales from Satellite Imagery [https://ojs.aaai.org/index.php/AAAI/article/download/5379/5235]
2. AutoML for Video Analytics with Edge Computing [https://ieeexplore.ieee.org/abstract/document/9488704]
3. Source Compression with Bounded DNN Perception Loss for IoT Edge Computer Vision [https://dl.acm.org/doi/10.1145/3300061.3345448]
4. NN-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices [https://dl.acm.org/doi/10.1145/3458864.3467882]
5. Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analytics [https://dl.acm.org/doi/10.1145/3387514.3405874]
6. Deep Interest Network for Click-Through Rate Prediction [https://arxiv.org/pdf/1706.06978.pdf]
7. Energy-Efficient 3D Vehicular Crowdsourcing For Disaster Response by Distributed Deep Reinforcement Learning [https://dl.acm.org/doi/pdf/10.1145/3447548.3467070]
8. Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-Adapting Scheme [https://ieeexplore.ieee.org/document/9312434]
9. Routing on Multiple Optimality Criteria[https://www.lx.it.pt/~jls/publications_ficheiros/RoutingMultipleOptimalCriteria.pdf]
10. Understanding, Detecting and Localizing Partial Failures in Large System Software [https://www.cs.jhu.edu/~huang/paper/omegagen-nsdi20-preprint.pdf]
11. Understanding Lifecycle Management Complexity of Datacenter Topologies [https://www.cs.jhu.edu/~huang/paper/omegagen-nsdi20-preprint.pdf]


==Schedule==
==Schedule==
W1: 28 Oct. Open talk
W1(28 Oct.):  Open Talk
 
W2(04 Nov.):  Assigenment Topics


W2:
W3(11 Nov.): Paper ID:


W3:
W4(18 Nov.): Paper ID:


W4:
W5(25 Nov.): Paper ID:


W5:
W6(02 Dec.): Paper ID:


W6:
W7(09 Dec.): Paper ID:


W7:
W8(16 Dec.): Paper ID:


W8:
W9(06 Jan.): Paper ID:


W9:
W10(13 Jan.): Paper ID:


W10:
W11(20 Jan.): Paper ID:


Final Presentation
Final Presentation
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==Final Presentations & Report==
==Final Presentations & Report==


*Final Registration in '''FlexNow''': before To Be Announced (TBA).
*Final Registration in '''FlexNow''': To Be Announced (TBA).




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*Final Report:
*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2021
**Due by 23:59pm 25 March 2022


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

Latest revision as of 19:24, 27 October 2021

Details

Workload/ECTS Credits: 5 ECTS
Module: M.Inf.1222.Mp: Specialization Computer Networks Module Description -or- 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
Lecturer: Prof. Xiaoming Fu; Dr. Tingting Yuan; Weijun Wang [weijun.wang@informatik.uni-goettingen.de]
Teaching assistant: [NA]
Time: Thu. 14:00-16:00
Place: IfI 0.101
UniVZ [1]


Announcements

Please contact me by email: weijun.wang@informatik.uni-goettingen.de or tingting.yuan@cs.uni-goettingen.de if you have any questions.

!!! the first classs is on Oct. 28 14:00-15:00 online: https://us04web.zoom.us/j/71958302946?pwd=L0hTYmFkVG5jZXo5TU51Q0xYN1VIZz09 .

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 comprises the following components:

  • Weekly Presentation + Weekly Paper Reading and Discussion 50%
  • Final Presentation 25%
  • Final Report 25%

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, two participants are assigned for presenting the paper (each presentation lasts for ~20 minutes) and the list of pros and cons are 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 lasts for ~20 minutes, plus ~10 minutes Q&A

List of Papers

1. Lightweight and Robust Representation of Economic Scales from Satellite Imagery [2]

2. AutoML for Video Analytics with Edge Computing [3]

3. Source Compression with Bounded DNN Perception Loss for IoT Edge Computer Vision [4]

4. NN-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices [5]

5. Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analytics [6]

6. Deep Interest Network for Click-Through Rate Prediction [7]

7. Energy-Efficient 3D Vehicular Crowdsourcing For Disaster Response by Distributed Deep Reinforcement Learning [8]

8. Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-Adapting Scheme [9]

9. Routing on Multiple Optimality Criteria[10]

10. Understanding, Detecting and Localizing Partial Failures in Large System Software [11]

11. Understanding Lifecycle Management Complexity of Datacenter Topologies [12]

Schedule

W1(28 Oct.): Open Talk

W2(04 Nov.): Assigenment Topics

W3(11 Nov.): Paper ID:

W4(18 Nov.): Paper ID:

W5(25 Nov.): Paper ID:

W6(02 Dec.): Paper ID:

W7(09 Dec.): Paper ID:

W8(16 Dec.): Paper ID:

W9(06 Jan.): Paper ID:

W10(13 Jan.): Paper ID:

W11(20 Jan.): Paper ID:

Final Presentation

  • Paper Title:
  • Paper Title:
  • Paper Title:

Final Presentations & Report

  • Final Registration in FlexNow: To Be Announced (TBA).


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


  • Final Presentation Slots:
    • To Be Announced (TBA)