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Learning Networking by Reproducing Research Results

Authors:

Nick McKeownAuthors Info & Claims

ACM SIGCOMM Computer Communication Review, Volume 47, Issue 2

Pages 19 - 26

https://doi.org/10.1145/3089262.3089266

Published: 02 May 2017 Publication History

Abstract

In the past five years, the graduate networking course at Stanford has assigned over 200 students the task of reproducing results from over 40 networking papers. We began the project as a means of teaching both engineering rigor and critical thinking, qualities that are necessary for careers in networking research and industry. We have observed that reproducing research can simultaneously be a tool for education and a means for students to contribute to the networking community. Through this editorial we describe our project in reproducing network research and show through anecdotal evidence that this project is important for both the classroom and the networking community at large, and we hope to encourage other institutions to host similar class projects.

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Cited By

Rojas CFraire JPatrone FMarchese M(2024)Advanced Constellation Emulation and Synthetic Datasets Generation for Non-Terrestrial Networks2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)10.1109/MeditCom61057.2024.10621248(37-43)Online publication date: 8-Jul-2024
https://doi.org/10.1109/MeditCom61057.2024.10621248
Rojas CFraire JPatrone FMarchese M(2024)Fuzzy Logic-Based Orchestration of Multi-Access Edge Computing in LEO Satellite Constellations2024 IEEE International Conference on Communications Workshops (ICC Workshops)10.1109/ICCWorkshops59551.2024.10615305(1685-1690)Online publication date: 9-Jun-2024
https://doi.org/10.1109/ICCWorkshops59551.2024.10615305
Islam SMorina VWelzl MFeng B(2024)TeachNet: A Lightweight and User-Friendly Network Visualization and Experimentation Tool2024 IEEE 29th Asia Pacific Conference on Communications (APCC)10.1109/APCC62576.2024.10767938(523-526)Online publication date: 5-Nov-2024
https://doi.org/10.1109/APCC62576.2024.10767938
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Index Terms

Learning Networking by Reproducing Research Results
1. Networks
  1. Network performance evaluation
2. Social and professional topics
  1. Professional topics
    1. Computing education

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Published In

cover image ACM SIGCOMM Computer Communication Review

ACM SIGCOMM Computer Communication Review Volume 47, Issue 2

April 2017

35 pages

ISSN:0146-4833

DOI:10.1145/3089262

Issue’s Table of Contents

Copyright © 2017 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 May 2017

Published in SIGCOMM-CCR Volume 47, Issue 2

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Cited By

Rojas CFraire JPatrone FMarchese M(2024)Advanced Constellation Emulation and Synthetic Datasets Generation for Non-Terrestrial Networks2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)10.1109/MeditCom61057.2024.10621248(37-43)Online publication date: 8-Jul-2024
https://doi.org/10.1109/MeditCom61057.2024.10621248
Rojas CFraire JPatrone FMarchese M(2024)Fuzzy Logic-Based Orchestration of Multi-Access Edge Computing in LEO Satellite Constellations2024 IEEE International Conference on Communications Workshops (ICC Workshops)10.1109/ICCWorkshops59551.2024.10615305(1685-1690)Online publication date: 9-Jun-2024
https://doi.org/10.1109/ICCWorkshops59551.2024.10615305
Islam SMorina VWelzl MFeng B(2024)TeachNet: A Lightweight and User-Friendly Network Visualization and Experimentation Tool2024 IEEE 29th Asia Pacific Conference on Communications (APCC)10.1109/APCC62576.2024.10767938(523-526)Online publication date: 5-Nov-2024
https://doi.org/10.1109/APCC62576.2024.10767938
Kotenko ISaenko IPrivalov ALauta O(2023)Ensuring SDN Resilience under the Influence of Cyber Attacks: Combining Methods of Topological Transformation of Stochastic Networks, Markov Processes, and Neural NetworksBig Data and Cognitive Computing10.3390/bdcc70200667:2(66)Online publication date: 30-Mar-2023
https://doi.org/10.3390/bdcc7020066
Xiang QLin YFang MHuang BHuang SWen RLe FKong LShu J(2023)Toward Reproducing Network Research Results Using Large Language ModelsProceedings of the 22nd ACM Workshop on Hot Topics in Networks10.1145/3626111.3628189(56-62)Online publication date: 28-Nov-2023
https://dl.acm.org/doi/10.1145/3626111.3628189
Fund F(2023)We Need More Reproducibility Content Across the Computer Science CurriculumProceedings of the 2023 ACM Conference on Reproducibility and Replicability10.1145/3589806.3600033(97-101)Online publication date: 27-Jun-2023
https://dl.acm.org/doi/10.1145/3589806.3600033
Diakhate PChu TLabiod MAugustin BTran HMellouk A(2022)Experimental Evaluation of Multiple Multipath Schedulers over Various Urban Mobile EnvironmentsProceedings of the 11th International Symposium on Information and Communication Technology10.1145/3568562.3568655(201-207)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1145/3568562.3568655
Wang LHalvorsen JPannala SSrivastava AGebremedhin ASchulz N(2022)CP‐SyNet: A tool for generating customised cyber‐power synthetic network for distribution systems with distributed energy resourcesIET Smart Grid10.1049/stg2.120885:6(463-477)Online publication date: 10-Oct-2022
https://doi.org/10.1049/stg2.12088
(2021)BibliographyComputing in Communication Networks10.1016/B978-0-12-820488-7.00045-1(457-471)Online publication date: 2021
https://doi.org/10.1016/B978-0-12-820488-7.00045-1
Xiang ZSeeling P(2021)Mininet: an instant virtual network on your computerComputing in Communication Networks10.1016/B978-0-12-820488-7.00025-6(219-230)Online publication date: 2021
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