Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3618257.3624999acmconferencesArticle/Chapter ViewAbstractPublication PagesimcConference Proceedingsconference-collections
poster
Public Access

Poster: Empirically Testing the PacketLab Model

Published: 24 October 2023 Publication History

Abstract

PacketLab is a recently proposed model for accessing remote vantage points. The core design is for the vantage points to export low-level network operations that measurement researchers could rely on to construct more complex measurements. Motivating the model is the assumption that such an approach can overcome persistent challenges such as the operational cost and security concerns of vantage point sharing that researchers face in launching distributed active Internet measurement experiments. However, the limitations imposed by the core design merit a deeper analysis of the applicability of such model to real-world measurements of interest. We undertook this analysis based on a survey of recent Internet measurement studies, followed by an empirical comparison of PacketLab-based versus native implementations of common measurement methods. We showed that for several canonical measurement types common in past studies, PacketLab yielded similar results to native versions of the same measurements. Our results suggest that PacketLab could help reproduce or extend around 16.4% (28 out of 171) of all surveyed studies and accommodate a variety of measurements from latency, throughput, network path, to non-timing data.

References

[1]
Dmitry Butskoy. 2023. TRACEROUTE for Linux. (2023). https://traceroute.sourceforge.net/
[2]
Kirill Levchenko, Amogh Dhamdhere, Bradley Huffaker, kc claffy, Mark Allman, and Vern Paxson. 2017. Packetlab: A Universal Measurement Endpoint Interface. In Proceedings of the 2017 Internet Measurement Conference (IMC '17). Association for Computing Machinery, New York, NY, USA, 254--260. https://doi.org/10.1145/3131365.3131396
[3]
Michael Norman, Vince Kellen, Shava Smallen, Brian DeMeulle, Shawn Strande, Ed Lazowska, Naomi Alterman, Rob Fatland, Sarah Stone, Amanda Tan, Katherine Yelick, Eric Van Dusen, and James Mitchell. 2021. CloudBank: Managed Services to Simplify Cloud Access for Computer Science Research and Education. In Practice and Experience in Advanced Research Computing (PEARC '21). Association for Computing Machinery, New York, NY, USA, Article 45, 4 pages. https://doi.org/10.1145/3437359.3465586 io

Index Terms

  1. Poster: Empirically Testing the PacketLab Model

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    IMC '23: Proceedings of the 2023 ACM on Internet Measurement Conference
    October 2023
    746 pages
    ISBN:9798400703829
    DOI:10.1145/3618257
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 October 2023

    Check for updates

    Author Tags

    1. packetlab
    2. poster

    Qualifiers

    • Poster

    Funding Sources

    Conference

    IMC '23
    Sponsor:
    IMC '23: ACM Internet Measurement Conference
    October 24 - 26, 2023
    Montreal QC, Canada

    Acceptance Rates

    Overall Acceptance Rate 277 of 1,083 submissions, 26%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 119
      Total Downloads
    • Downloads (Last 12 months)107
    • Downloads (Last 6 weeks)17
    Reflects downloads up to 25 Nov 2024

    Other Metrics

    Citations

    View Options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Login options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media