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Running ModelGraft to Evaluate Internet-scale ICN

Published: 26 September 2016 Publication History

Abstract

The analysis of Internet-scale Information-centric networks, and of cache networks in general, poses scalability issues like CPU and memory requirements, which can not be easily targeted by neither state-of-the-art analytical models nor well designed event-driven simulators. This demo focuses on showcasing performance of our new hybrid methodology, named ModelGraft, which we release as a simulation engine of the open-source ccnSim simulator: being able to seamlessly use a classic event-driven or the novel hybrid engine dramatically improves the flexibility and scalability of current simulative and analytical tools. In particular, ModelGraft combines elements and intuitions of stochastic analysis into a MonteCarlo simulative approach, offering a reduction of over two orders of magnitude in both CPU time and memory occupancy, with respect to the purely event-driven version of ccnSim, notably one of the most scalable simulators for Information-centric networks. This demo consists in gamifying the aforementioned comparison: we represent ModelGraft vs event-driven simulation as two athletes running a 100-meter competition using sprite-based animations. Differences between the two approaches in terms of CPU time, memory occupancy, and results accuracy, are highlighted in the score-board.

References

[1]
G. Xylomenos et al. A survey of information-centric networking research. Communication Surveys and Tutorials, IEEE, 16(2), 2014.
[2]
M. Tortelli, D. Rossi, et al. ICN software tools: survey and cross-comparison. Elsevier Simulation Modelling Practice and Theory (SIMPAT), 63:23, 2016.
[3]
M. Tortelli, D. Rossi, et al. ModelGraft: Accurate, Scalable, and Flexible Performance Evaluation of General Cache Networks. In Proc. of International Teletraffic Congress (ITC). 2016.
[4]
H. Che, Y. Tung, et al. Hierarchical web caching systems: Modeling, design and experimental results. IEEE JSAC, 20(7):1305, 2002.
[5]
V. Martina, M. Garetto, et al. A unified approach to the performance analysis of caching systems. In Proc. of IEEE INFOCOM. 2014.
[6]
N. Fofack, P. Nain, et al. Performance evaluation of hierarchical TTL-based cache networks. Elsevier Computer Networks, 65:212, 2014.
[7]
http://perso.telecom-paristech.fr/ ̃drossi/ccnSim.

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Published In

cover image ACM Conferences
ACM-ICN '16: Proceedings of the 3rd ACM Conference on Information-Centric Networking
September 2016
275 pages
ISBN:9781450344678
DOI:10.1145/2984356
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 September 2016

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Author Tags

  1. Hybrid simulation
  2. Information-Centric Networks
  3. Internet-scale
  4. Open-source software

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  • Demonstration

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ICN'16
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ACM-ICN '16 Paper Acceptance Rate 23 of 84 submissions, 27%;
Overall Acceptance Rate 133 of 482 submissions, 28%

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