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
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==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==
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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==
==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
536

edits