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= | |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. | ||
<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 | * Weekly Presentation + Weekly Paper Reading and Discussion 50% | ||
* Final Presentation 25% | * Final Presentation 25% | ||
* Final Report | * 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. | ||
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==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== | |||
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 Presentations & Report== | ||
*Final Registration in '''FlexNow''': | *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 | **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)
- 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/)
- Due by 23:59pm 25 March 2022