News About Merge and Merge-related Projects on MergeTB

Research Paper Presented at ViSNext'22: "Improving Fidelity in Video Streaming Experimentation on Testbeds with a CDN"

Tue, 17 Jan 2023 00:00:00 +0000

On December 9, 2022, we presented a research paper at the 2nd ACM CoNEXT Workshop on Design, Deployment, and Evaluation of Network-assisted Video Streaming (ViSNext 2022), “Improving Fidelity in Video Streaming Experimentation on Testbeds with a CDN” by Calvin Ardi, Alefiya Hussain, Michael Collins, Stephen Schwab (DOI: 10.1145/3565476.3569097, PDF).

Abstract:

Video streaming is the leading network traffic on the Internet, yet there are few tools to run high fidelity experiments with video streaming traffic on network emulation-based testbeds. In this paper, we present a framework to enable higher fidelity and principled experimentation with 36 different video streaming traffic scenario combinations that can be configured and deployed on a notional CDN and data metrics infrastructure. This framework can be used to further study and experiment with adaptive bitrate algorithms and other AI/ML solutions for video delivery.

Now Available: The DARPA SEARCHLIGHT Dataset of Application Network Traffic

Mon, 10 Oct 2022 00:00:00 +0000

The DARPA SEARCHLIGHT dataset of application network traffic, consisting of ~750GB of packet captures from ~2000 systematically conducted experiments, is now available with an accompanying website to help discoverability here.

For more information about the dataset, please see our research paper of the same title.

The tools we developed in creating this dataset are open source and freely available at https://gitlab.com/mergetb/exptools.

acknowledgements

This research was developed with funding from the Defense Advanced Research Projects Agency (DARPA). Work by USC/ISI was sponsored by Sandia National Laboratories (SNL) under PO2160586. SNL is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. The views, opinions and/or findings expressed are those of the author and should not be interpreted as representing the official views or policies of the Department of Defense, Department of Energy, or the U.S. Government.

Two Research Papers Presented at CSET'22: "The DARPA SEARCHLIGHT Dataset of Application Network Traffic" and "Generating Representative Video Teleconferencing Traffic"

Wed, 10 Aug 2022 00:00:00 +0000

On August 8, 2022, we presented two research papers at the 15th Cyber Security Experimentation and Test Workshop:

The DARPA SEARCHLIGHT Dataset of Application Network Traffic by Calvin Ardi, Connor Aubry, Brian Kocoloski, Dave DeAngelis, Alefiya Hussain, Matt Troglia, and Stephen Schwab.

Abstract: Researchers are in constant need of reliable data to develop and evaluate AI/ML methods for networks and cybersecurity. While Internet measurements can provide realistic data, such datasets lack ground truth about application flows. We present a ∼ 750GB dataset that includes ∼ 2000 systematically conducted experiments and the resulting packet captures with video streaming, video teleconferencing, and cloud-based document editing applications. This curated and labeled dataset has bidirectional and encrypted traffic with complete ground truth that can be widely used for assessments and evaluation of AI/ML algorithms.