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Parallel Simulation of Virtual Testbed Applications

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Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 873))

Abstract

To enable the systematic evaluation of complex technical systems by engineers from various disciplines advanced 3D simulation environments that model all relevant aspects are used. In these Virtual Testbeds real-time capabilities are very hard to achieve without applying multi-threading strategies, due to the high complexity of the simulation. We present a novel simulation architecture that facilitates a modular approach to perform parallel simulations of arbitrary environments, where no explicit knowledge of the underlying simulation algorithms or model partitioning is needed by the engineer. Simulation components such as rigid-body dynamics, kinematics, renderer, controllers etc. can be distributed among different threads without concern about the specific technical realization. We achieve this by managing self-contained independent copies of the simulation model, each bound to one thread.

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References

  1. Ballarini, P., Forlin, M., Mazza, T., Prandi, D.: Efficient parallel statistical model checking of biochemical networks. arXiv preprint arXiv:0912.2551 (2009)

  2. Bononi, L., Bracuto, M., D’Angelo, G., Donatiello, L.: Concurrent replication of parallel and distributed simulations. In: Workshop on Principles of Advanced and Distributed Simulation, PADS 2005, pp. 234–243. IEEE (2005)

    Google Scholar 

  3. Brown, R.: Calendar queues: a fast 0 (1) priority queue implementation for the simulation event set problem. Commun. ACM 31(10), 1220–1227 (1988)

    Article  Google Scholar 

  4. Dahl, J., Chetlur, M., Wilsey, P.: Event list management in distributed simulation. In: Euro-Par 2001 Parallel Processing (2001)

    Chapter  Google Scholar 

  5. Eickhoff, M.: Sequential analysis of quantiles and probability distributions by replicated simulations. Ph.D. thesis, University of Canterbury (2007)

    Google Scholar 

  6. van Emde Boas, P., Kaas, R., Zijlstra, E.: Design and implementation of an efficient priority queue. Math. Syst. Theory 127, 99–127 (1976)

    Article  MathSciNet  Google Scholar 

  7. Ewald, R., Leye, S., Uhrmacher, A.M.: An efficient and adaptive mechanism for parallel simulation replication. In: ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation, PADS 2009, pp. 104–113. IEEE (2009)

    Google Scholar 

  8. Faruque, M.O., Dinavahi, V., Steurer, M., Monti, A., Strunz, K., Martinez, J.a., Chang, G.W., Jatskevich, J., Iravani, R., Davoudi, A.: Interfacing issues in multi-domain simulation tools. IEEE Trans. Power Deliv. 27(1), 439–448 (2012)

    Article  Google Scholar 

  9. Forlin, M., Mazza, T., Prandi, D.: Predicting the effects of parameters changes in stochastic models through parallel synthetic experiments and multivariate analysis. In: 2010 Ninth International Workshop on Parallel and Distributed Methods in Verification, and Second International Workshop on High Performance Computational Systems Biology, pp. 105–115. IEEE (2010)

    Google Scholar 

  10. Franta, W.R., Maly, K.: An efficient data structure for the simulation event set. Commun. ACM 20(8), 596–602 (1977)

    Article  Google Scholar 

  11. Friedmann, M., Petersen, K., von Stryk, O.: Simulation of multi-robot teams with flexible level of detail. In: International Conference on Simulation, Modeling, and Programming for Autonomous Robots, pp. 29–40. Springer (2008)

    Google Scholar 

  12. Fujimoto, R.M.: Parallel and distributed simulation. In: Farrington, P.A., Nembhard, H.B. (eds.) Proceedings of the 1999 Winter Simulation Conference, pp. 122–131 (1999)

    Google Scholar 

  13. Fujimoto, R.M.: Parallel simulation: parallel and distributed simulation systems. In: Proceedings of the 33rd Conference on Winter Simulation, pp. 147–157. IEEE Computer Society (2001)

    Google Scholar 

  14. GAZEBO: Open source robotics foundation (2017). http://www.gazebosim.org

  15. Glasserman, P., Heidelberger, P., Shahabuddin, P., Zajic, T.: Splitting for rare event simulation: analysis of simple cases. In: Proceedings of the 28th Conference on Winter Simulation, WSC 1996, pp. 302–308. IEEE Computer Society, Washington, DC (1996). https://doi.org/10.1145/256562.256635

  16. Glynn, P.W., Heidelberger, P.: Analysis of parallel replicated simulations under a completion time constraint. ACM Trans. Model. Comput. Simul. 1(1), 3–23 (1991). https://doi.org/10.1145/102810.102811

    Article  MATH  Google Scholar 

  17. Graham, R.: Bounds for certain multiprocessing anomalies. Bell Syst. Tech. J. 45(9), 1563–1581 (1966)

    Article  Google Scholar 

  18. Gyssens, M., Paredaens, J., van den Bussche, J., van Gucht, D.: A graph-oriented object database model. IEEE Trans. Knowl. Data Eng. 6, 572–586 (1994)

    Article  Google Scholar 

  19. Hybinette, M., Fujimoto, R.: Cloning: a novel method for interactive parallel simulation. In: Proceedings of the 29th Conference on Winter Simulation, pp. 444–451. IEEE Computer Society (1997)

    Google Scholar 

  20. Hybinette, M., Fujimoto, R.M.: Cloning parallel simulations. ACM Trans. Model. Comput. Simul. (TOMACS) 11(4), 378–407 (2001)

    Article  Google Scholar 

  21. Ka, A., Mok, L.: Fundamental design problems of distributed systems for the hard-real-time environment, vol. 1. MIT thesis, May 1983

    Google Scholar 

  22. Kurtev, I., van den Berg, K.: MISTRAL: a language for model transformations in the MOF meta-modeling architecture. In: European MDA Workshops: Foundations and Applications, MDAFA 2003 and MDAFA 2004, Twente, The Netherlands, 26–27 June 2003, and Linköping, Sweden, 10–11 June 2004. Revised Selected Papers (2005)

    Google Scholar 

  23. Levanoni, Y., Petrank, E.: An on-the-fly reference-counting garbage collector for java. ACM Trans. Program. Lang. Syst. 28, 1–69 (2006)

    Article  Google Scholar 

  24. Liu, C., Layland, J.: Scheduling algorithms for multiprogramming in a hard-real-time environment. J. ACM (JACM) 1, 46–61 (1973)

    Article  MathSciNet  Google Scholar 

  25. Matlab Simulink: The mathworks, inc. (2017). http://www.mathworks.de/

  26. Mota, E., Wolisz, A., Pawlikowski, K.: A perspective of batching methods in a simulation environment of multiple replications in parallel. In: Proceedings of the 32nd Conference on Winter Simulation, WSC 2000, pp. 761–766. Society for Computer Simulation International, San Diego (2000). http://dl.acm.org/citation.cfm?id=510378.510487

  27. Nance, R.E., Sargent, R.G.: Perspectives on the evolution of simulation. Oper. Res. 50(1), 161–172 (2002)

    Article  MathSciNet  Google Scholar 

  28. Nielebock, S., Ortmeier, F., Schumann, M., Winge, A.: From discrete event simulation to virtual reality environments. In: Ortmeier, F., Daniel, P. (eds.) Computer Safety, Reliability, and Security, pp. 508–516. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  29. Oh, S.H., Ahn, J.S.: Dynamic calendar queue. In: Proceedings of the 32nd Annual Simulation Symposium, pp. 20–25. IEEE (1999)

    Google Scholar 

  30. Passerat-Palmbach, J., Caux, J., Siregar, P., Mazel, C., Hill, D.: Warp-level parallelism: enabling multiple replications in parallel on GPU. arXiv preprint arXiv:1501.01405 (2015)

  31. Pawlikowski, K., Yau, V.W., McNickle, D.: Distributed stochastic discrete-event simulation in parallel time streams. In: Proceedings of the 26th Conference on Winter Simulation, pp. 723–730. Society for Computer Simulation International (1994)

    Google Scholar 

  32. Perumalla, K.S.: Parallel and distributed simulation: traditional techniques and recent advances. In: Proceedings of the 38th Conference on Winter Simulation, pp. 84–95. Winter Simulation Conference (2006)

    Google Scholar 

  33. Revie, D.: An aspect-based engine architecture. In: GPU Pro 4: Advanced Rendering Techniques, pp. 267–284. AK Peters/CRC Press (2013)

    Google Scholar 

  34. Rossmann, J., Dimartino, M., Priggemeyer, M., Waspe, R.: Practical applications of simulation-based control. In: Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics (AIM2016), Banff, Alberta, Canada, 12–16 July 2016, pp. 1376–1381. IEEE (2016). Electronic ISBN 978-1-5090-2065-2, USB ISBN 978-1-5090-2064-5, Print on Demand (PoD) ISBN 978-1-5090-2066-9

    Google Scholar 

  35. Rossmann, J., Schluse, M.: Virtual robotic testbeds: a foundation for e-robotics in space, in industry – and in the woods. In: Developments in E-systems Engineering (DeSE), pp. 496–501. IEEE (2011)

    Google Scholar 

  36. Rossmann, J., Schluse, M., Rast, M., Atorf, L.: eRobotics combining electronic media and simulation technology to develop (not only) robotics applications. In: Kadry, S., El Hami, A. (eds.) E-Systems for the 21st Century – Concept, Developments, and Applications, Chap. 10, vol. 2. Apple Academic Press (2016). ISBN 978-1-77188-255-2

    Google Scholar 

  37. Roßmann, J., Schluse, M., Waspe, R.: Combining supervisory control, object-oriented petri-nets and 3D simulation for hybrid simulation systems using a flexible meta data approach. In: SIMULTECH, pp. 15–23 (2013)

    Google Scholar 

  38. Roth, M., Voss, G., Reiners, D.: Multi-threading and clustering for scene graph systems. Comput. Graph. 28(1), 63–66 (2004)

    Article  Google Scholar 

  39. Simscape Multibody: The mathworks, inc. (2017). http://www.mathworks.de/

  40. V-REP: Coppelia robotics gmbh (2017). http://www.coppeliarobotics.com

  41. Vakili, P.: Massively parallel and distributed simulation of a class of discrete event systems: a different perspective. ACM Trans. Model. Comput. Simul. 2(3), 214–238 (1992). https://doi.org/10.1145/146382.146389

    Article  MATH  Google Scholar 

  42. Vallado, D., Crawford, P., Hujsak, R., Kelso, T.: Revisiting spacetrack report# 3. In: AIAA/AAS Astrodynamics Specialist Conference and Exhibit, p. 6753 (2006)

    Google Scholar 

  43. Vaucher, J., Duval, P.: A comparison of simulation event list algorithms. Commun. ACM 18(4), 223–230 (1975)

    Article  Google Scholar 

  44. Voß, G., Behr, J., Reiners, D., Roth, M.: A multi-thread safe foundation for scene graphs and its extension to clusters. In: EGPGV 2002, pp. 33–37 (2002)

    Google Scholar 

  45. Wahl, A., Waspe, R., Schluse, M., Rossmann, J.: A modular approach for parallel simulation of virtual testbed applications. In: De Rango, F., Ören, T., Obaidat, M.S. (eds.) Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2017), Madrid, Spain, 26–28 July 2017, vol. 1, pp. 255–262. SCITEPRESS (2017). ISBN 978-989-758-265-3

    Google Scholar 

  46. Wang, W., Yang, Y.: The speedup of discrete event simulations by utilizing CPU caching (2012)

    Google Scholar 

  47. Webots: CYBERBOTICS Ltd. (2017). http://www.cyberbotics.com/webots

  48. Weise, J., Briess, K., Adomeit, A., Reimerdes, H.G., Göller, M., Dillmann, R.: An intelligent building blocks concept for on-orbit-satellite servicing. In: Proceedings of the International Symposium on Artificial Intelligence Robotics and Automation in Space (iSAIRAS), Turin, Italy (2012)

    Google Scholar 

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Acknowledgments

Parts of this work were developed in the context of the research project ViTOS. Supported by the German Aerospace Center (DLR) with funds of the German Federal Ministry of Economics and Technology (BMWi), support code 50 RA 1304.

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Authors and Affiliations

  1. Institute for Man-Machine Interaction, RWTH Aachen University, Ahornstarße 55, Aachen, Germany

    Arthur Wahl, Ralf Waspe, Michael Schluse & Juergen Rossmann

Authors
  1. Arthur Wahl
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  2. Ralf Waspe
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  3. Michael Schluse
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  4. Juergen Rossmann
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Corresponding author

Correspondence to Arthur Wahl .

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Editors and Affiliations

  1. King Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan

    Mohammad S. Obaidat

  2. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  3. Department of Informatics, Modeling, Electronics and System Engineering, University of Calabria, Rende, Italy

    Floriano De Rango

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Wahl, A., Waspe, R., Schluse, M., Rossmann, J. (2019). Parallel Simulation of Virtual Testbed Applications. In: Obaidat, M., Ören, T., Rango, F. (eds) Simulation and Modeling Methodologies, Technologies and Applications . SIMULTECH 2017. Advances in Intelligent Systems and Computing, vol 873. Springer, Cham. https://doi.org/10.1007/978-3-030-01470-4_10

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