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Data-Driven Network Path Simulation with iBox

Published: 06 June 2022 Publication History

Abstract

While network simulation is widely used for evaluating network protocols and applications, ensuring realism remains a key challenge. There has been much work on simulating network mechanisms faithfully (e.g., links, buffers, etc.), but less attention on the critical task of configuring the simulator to reflect reality.
We present iBox ("Internet in a Box"), which enables data-driven network path simulation, using input/output packet traces gathered at the sender/receiver in the target network to create a model of the end-to-end behaviour of a network path. Our work builds on recent work in this direction [2, 6] and makes three contributions: (1) estimation of a lightweight non-reactive cross-traffic model, (2) estimation of a more powerful reactive cross-traffic model based on Bayesian optimization, and (3) evaluation of iBox in the context of congestion control variants in an Internet research testbed and also controlled experiments with known ground truth.
This paper represents an abridged version of [3].

References

[1]
pname project website. https://aka.ms/ibox.
[2]
S. Ashok, S. S. Duvvuri, N. Natarajan, V. N. Padmanabhan, S. Sellamanickam, and J. Gehrke. iBox: Internet in a Box. In Proceedings of the 19th ACM Workshop on Hot Topics in Networks, HotNets '20, page 23--29, New York, NY, USA, 2020.
[3]
S. Ashok, S. Tiwari, N. Natarajan, V. N. Padmanabhan, and S. Sellamanickam. Data-Driven Network Path Simulation with iBox. Proc. ACM Meas. Anal. Comput. Syst. (ACM SIGMETRICS/PERFORMANCE '22), 6(1), Feb 2022.
[4]
Pantheon: The Training Ground for Internet Congestion Control Research. https://pantheon.stanford.edu/.
[5]
K. Winstein, A. Sivaraman, and H. Balakrishnan. Stochastic Forecasts Achieve High Throughput and Low Delay over Cellular Networks. In 10th USENIX Symposium on Networked Systems Design and Implementation (NSDI 13), pages 459--471, Lombard, IL, Apr. 2013. USENIX Association.
[6]
F. Y. Yan, J. Ma, G. D. Hill, D. Raghavan, R. S. Wahby, P. Levis, and K. Winstein. Pantheon: the training ground for internet congestion-control research. In 2018 USENIX Annual Technical Conference (USENIX ATC 18), pages 731--743, 2018.

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Published In

cover image ACM Conferences
SIGMETRICS/PERFORMANCE '22: Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems
June 2022
132 pages
ISBN:9781450391412
DOI:10.1145/3489048
  • cover image ACM SIGMETRICS Performance Evaluation Review
    ACM SIGMETRICS Performance Evaluation Review  Volume 50, Issue 1
    SIGMETRICS '22
    June 2022
    118 pages
    ISSN:0163-5999
    DOI:10.1145/3547353
    Issue’s Table of Contents
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.

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Published: 06 June 2022

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Author Tags

  1. bayesian optimization
  2. cross-traffic estimation
  3. data-driven simulation

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