skip to main content
10.1145/2756509.2756525acmotherconferencesArticle/Chapter ViewAbstractPublication Pageswns3Conference Proceedingsconference-collections
research-article

Pushing the envelope in distributed ns-3 simulations: one billion nodes

Authors Info & Claims
Published:13 May 2015Publication History

ABSTRACT

In this paper, we describe the results of simulation of very large (up to 109 nodes), planetary-scale networks using ns-3 simulator. The modeled networks consist of the small-world core graph of network routers and an equal number of the leaf nodes (one leaf node per router). Each bidirectional link in the simulation carries on-off traffic. Using LLNL's high-performance computing (HPC) clusters, we conducted strong and weak scaling studies, and investigated on-node scalability for MPI nodes. The scaling relations for both runtime and memory are derived. In addition we examine the packet transmission rate in the simulation and its scalability. Performance of the default ns-3 parallel scheduler is compared to the custom-designed NULL-message scheduler.

References

  1. ns-3 Collaboration. The ns-3 network simulator. 2011Google ScholarGoogle Scholar
  2. E. Weingärtner, H. vom Lehn, and K. Wehrle. A performance comparison of recent network simulators. In Proc. of the IEEE International Conference on Communications (ICC'09), pp. 1287--1291, Dresden, Germany, 2009 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. Pelkey and G. Riley. Distributed simulation with MPI in ns-3. In Proc. of the 4th International Conference on Simulation Tools and Techniques (SIMUTools'11), pp. 410--414, ICST, Brussels, Belgium, 2011 Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. P. D. Barnes, Jr., J. M. Brase, T. W. Canales, et al. A benchmark model for parallel ns3. In Proc. of the 5th International Conference on Simulation Tools and Techniques (SIMUTools'12), pp. 375--377, ICST, Brussels, Belgium, 2012 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. S. Nikolaev, P. D. Barnes, Jr., J. M. Brase, et al. Performance of distributed ns-3 network simulator. In Proc. of the 6th International Conference on Simulation Tools and Techniques (SIMUTools'13), pp. 17--23, ICST, Brussels, Belgium, 2013 Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. P. D. Barnes, Jr., J. M. Brase, T. W. Canales, et al. Livermore computer network simulation program. In Proc. of the 5th International Conference on Simulation Tools and Techniques (SIMUTools'12), pp. 223--225, ICST, Brussels, Belgium, 2012 Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. K. Renard, C. Peri, and J. Clarke. A performance and scalability evaluation of the ns-3 distributed scheduler. In Proc. of the 5th International Conference on Simulation Tools and Techniques (SIMUTools'12), pp. 378--382, ICST, Brussels, Belgium, 2012 Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. S. Smith, P. D. Barnes, Jr., D. R. Jefferson, S. Nikolaev. Improving per processor memory use of ns-3 to enable large scale simulations, WNS3, accepted. 2015 Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. D. Gregor and A. Lumsdaine. The parallel BGL: a generic library for distributed graph computations. In Parallel Object-Oriented Scientific Computing (POOSC), July 2005Google ScholarGoogle Scholar
  10. D. M. Nicol, C. C. Michael, and P. Inouye. Efficient aggregation of multiple LPs in distributed memory parallel simulations. In Proc. of 21st Winter Simulation Conference (WSC'89), pp. 680--685, ACM, New York, USA, 1989 Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. P. D. Barnes, Jr. XML format for ns-3 network topology. In Workshop on ns-3 (WNS3 2013), pp. 1--3, ICST, Brussels, Belgium, 2013Google ScholarGoogle Scholar
  12. D. J. Watts and S. H. Strogatz. Collective dynamics of small-world networks. Nature 393 (6684), pp. 440--442, 1998Google ScholarGoogle ScholarCross RefCross Ref
  13. K. M. Chandy and J. Misra. Distributed simulation: a case study in design and verification of distributed programs. IEEE Trans. Soft. Eng., 5, pp. 440--452, 1979 Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. G. Karypis and V. Kumar. Metis -- unstructured graph partitioning and sparse matrix ordering system, version 2.0. Technical report. 1995Google ScholarGoogle Scholar

Index Terms

  1. Pushing the envelope in distributed ns-3 simulations: one billion nodes

            Recommendations

            Comments

            Login options

            Check if you have access through your login credentials or your institution to get full access on this article.

            Sign in
            • Published in

              cover image ACM Other conferences
              WNS3 '15: Proceedings of the 2015 Workshop on ns-3
              May 2015
              136 pages
              ISBN:9781450333757
              DOI:10.1145/2756509
              • Conference Chairs:
              • Eric Gamess,
              • Peter D. Barnes,
              • Hajime Tazaki,
              • General Chair:
              • Nicola Baldo

              Copyright © 2015 ACM

              Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 13 May 2015

              Permissions

              Request permissions about this article.

              Request Permissions

              Check for updates

              Qualifiers

              • research-article

              Acceptance Rates

              WNS3 '15 Paper Acceptance Rate17of27submissions,63%Overall Acceptance Rate54of82submissions,66%

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader