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

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== Details ==
== Details ==
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{{CourseDetails
{{CourseDetails
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Revision as of 18:07, 13 July 2021

Details

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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
Teaching assistant: [NA]
Time: Thu. 14:00-16:00
Place: IfI 0.101
UniVZ [1]


Announcements

Please contact me by email: tingting.yuan@cs.uni-goettingen.de if you have any questions. Choose your topic and email Tingting.

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 40%
  • Final Presentation 25%
  • Final Report 35%

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. Video streaming in NN-based system (Occupied)
    • (1) Neural Adaptive Content-aware Internet Video Delivery [2] OSDI'18
    • (2) Neural-Enhanced Live Streaming: Improving Live Video Ingest via Online Learning [3] Sigcomm'20
    • (3) NEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile Devices [4] Mobicom'20
  • 2. Network for Distributed Learning (Occupied)
    • (1) Is Network the Bottleneck of Distributed Training? [5] Sigcomm workshop 20
    • (2) Domain-specific Communication Optimization for Distributed DNN Training [6] arxiv
    • (3) PipeDream: generalized pipeline parallelism for DNN training[7] SOSP ’19
  • 3. Network Control
    • (1) Neural Packet Routing [8] Sigcomm workshop 20
    • (2) OmniMon: Re-architecting Network Telemetry with Resource Efficiency and Full Accuracy [9] Sigcomm 20
    • (3) Swift: Delay is Simple and Effective for Congestion Control in the Datacenter[10] Sigcomm 20
  • 4. AI for Network I
    • (1) SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering [11] Sigcomm workshop 20
    • (2) Event-Triggered Communication Network with Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning [12] AAAI 21
    • (3) Learning Scheduling Algorithms for Data Processing Clusters [13] Sigcomm 19
  • 5. AI for Network II (Occupied)
    • (1) Challenges in Using ML for Networking Research: How to Label If You Must [14] Sigcomm workshop 20
    • (2) Interpreting Deep Learning-Based Networking Systems [15]Sigcomm 20
    • (3) PCF: Provably Resilient Flexible Routing [16] Sigcomm 20

Schedule

  • 15 April 2021
    • Informational Meeting
  • 22 April 2021
    • No lecture (Girls Day)
  • 29 April 2021
    • Paper Title: Neural Adaptive Content-aware Internet Video Delivery [17] OSDI'18
  • 06 May 2021
    • Paper Title: Is Network the Bottleneck of Distributed Training? [18] Sigcomm workshop 20
  • 13 May 2021
    • No lecture (Ascension Day)
  • 20 May 2021
    • Paper Title: Challenges in Using ML for Networking Research: How to Label If You Must [19] Sigcomm workshop 20
  • 27 May 2021
    • Paper Title: Neural-Enhanced Live Streaming: Improving Live Video Ingest via Online Learning [20] Sigcomm'20
  • 03 June 2021
    • Paper Title: Domain-specific Communication Optimization for Distributed DNN Training [21] arxiv
  • 10 June 2021
    • Paper Title: Interpreting Deep Learning-Based Networking Systems [22]Sigcomm 20
  • 17 June 2021
    • Paper Title: PipeDream: generalized pipeline parallelism for DNN training[23] SOSP ’19
  • 24 June 2021
    • Paper Title: PCF: Provably Resilient Flexible Routing [24] Sigcomm 20
  • 01 July 2021
    • Paper Title: NEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile Devices [25] Mobicom'20
  • 08 July 2021
    • No lecture
  • 15 July 2021 (Final Presentation)
    • Paper Title:
    • Paper Title:
    • Paper Title:

Final Presentations & Report

  • Final Registration in FlexNow: before 09th July 2021.


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


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