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Cloud-Based Simulation

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Summer of Simulation

Part of the book series: Simulation Foundations, Methods and Applications ((SFMA))

Abstract

In order to accommodate the development and application of simulation systems in network environments, modeling and simulation technology embraced increasingly web-based to cloud-based solutions. This chapter describes the development from the early application of web services, the use of simulation grids, towards modeling and simulation as a service. A current architecture for cloud simulation platforms is presented and key technologies for its implementation are identified. The chapter deals with big data challenges as well as digital twins and provides some applications of cloud-based simulation. It closes with the conclusion that the trend of simulation technology will be cloud-based and intelligent and motivates an intelligent cloud in support of simulation.

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References

  • Al-Zoubi, K., & Wainer, G. (2013). RISE: A general simulation interoperability middleware container. Journal of Parallel and Distributed Computing, 73, 580–594.

    Article  Google Scholar 

  • Ashu, G. (2000). A web-based interface for storing and executing simulation models. In Proceedings of the 32nd Conference on Winter Simulation, Orlando, Florida.

    Google Scholar 

  • Bencomo, D. S. (2004). Control learning: present and future. Presented at the 15th Triennial World Congress, Barcelona, Spain.

    Article  Google Scholar 

  • Björn, M., Katherine, L., Morse, Mike, L., Reed, L., & Robert, L. (2008). HLA evolved—A summary of major technical improvements. Fall Simulation Interoperability Workshop.

    Google Scholar 

  • Blais, C. (2004). Extensible modeling and simulation framework (XMSF) exemplars in analytic combat modeling. Paper 04S-SIW-142, Proceedings of the Spring 2004 Simulation Interoperability Workshop, Orlando, FL.

    Google Scholar 

  • Blais, C. L., Brutzman, D., Drake, D., Moen, D., Morse, K., Pullen, M., et al. (2005). Extensible modeling and simulation framework (XMSF) 2004 project summary report. Monterey, CA: Naval Postgraduate School Report.

    Google Scholar 

  • Bo-Hu, L. I., Chai, X. D., Hou, B. C., Tan, L. I., Zhang, Y. B., & Hai-Yan, Y. U. et al. (2009). Networked modeling & simulation platform based on concept of cloud computing—cloud simulation platform. Journal of System Simulation.

    Google Scholar 

  • Boschert, S., & Rosen, R. (2016). Digital twin—The simulation aspect: Springer International Publishing.

    Google Scholar 

  • Brutzman, D., Zyda, M., Pullen, J., & Morse, K. L. (2002). Extensible modeling and simulation framework (XMSF): Challenges for Web-based modeling and simulation. Naval Postgraduate School Report, Monterey, CA.

    Google Scholar 

  • Byrne, J., Heavey, C., & Byrne, P. J. (2010). A review of web-based simulation and supporting tools. Simulation Modelling Practice and Theory, 18, 253–276.

    Article  Google Scholar 

  • Chen, J. Q., & Heath, R. D. (2005). Web application development methodologies. In Web Engineering: Principles and Techniques (pp. 76–96). IGI Global.

    Google Scholar 

  • Chi, X., & Yu, L. (2015). On the discussion of new problems in HLA based on high-efficiency simulation cloud. Presented at the 2015 International Conference on Software, Multimedia and Communication Engineering (SMCE 2015).

    Google Scholar 

  • Dasoriya, R. (2018). A review of big data analytics over cloud. In IEEE International Conference on Consumer Electronics-Asia.

    Google Scholar 

  • Erdal, C. (2013). Modeling and simulation as a cloud service: A survey. In Proceedings of the 2013 Winter Simulation Conference, Savannah, GA.

    Google Scholar 

  • Feng, L., Yuanjun, L., Lin, Z., & Xiaolin, H. (2018). Service composition and scheduling in cloud-based simulation environment. Presented at the SpringSim-Mod4Sim, Baltimore, Maryland, USA.

    Google Scholar 

  • Fortmann-Roe, S. (2014). Insight maker: A general-purpose tool for web-based modeling & simulation. Simulation Modelling Practice and Theory, 47, 28–45.

    Article  Google Scholar 

  • Guan, S., De Grande, R. E., & Boukerche, A. (2016). An HLA-based cloud simulator for mobile cloud environments. In 2016 IEEE/ACM 20th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), (pp. 128–135). IEEE.

    Google Scholar 

  • Laili, Y. (2012). A study of optimal allocation of computing resources in cloud manufacturing systems. International Journal of Advanced Manufacturing Technology, 63, 671–690.

    Article  Google Scholar 

  • Liu, J., Zhang, L., & Liu, Y. (2013). Service-orientated model composition. Sciencepaper Online (in Chinese).

    Google Scholar 

  • Miller, J. A., Seila, A. F., & Tao, J. (2000). Finding a substrate for federated components on the web. In Proceedings of the 32nd conference on Winter simulation (pp. 1849–1854). Society for Computer Simulation International.

    Google Scholar 

  • Miller, J. A., Fishwick, P. A., Taylor, S. J. E., Perakath, B., & Boleslaw, S. (2001). Research and commercial opportunities in web-based simulation. Simulation Practice & Theory, 9, 18.

    Article  Google Scholar 

  • Onggo, B. S. (2014). The need for cloud-based simulation from the perspective of simulation practitioners. In Operational Research Society Simulation Workshop.

    Google Scholar 

  • Paull, F. (1996). Web-based simulation some personal observations. In Proceedings of the 1996 Winter Simulation Conference.

    Google Scholar 

  • Rao, M. D., & Philip, A. (2000). Wilsey “Dynamic component substitution in web-based simulation. In Proceedings of the 2000 Winter Simulation Conference.

    Google Scholar 

  • Ren, L., Zhang, L., Tao, F., Zhang, X. L., Zhang, Y., & Zhang, Y. (2012). A methodology towards virtualization-based high performance simulation platform supporting multidisciplinary design of complex products. Enterprise Information Systems, 6, 267–290.

    Article  Google Scholar 

  • Rosen, R., Wichert, G. V., Lo, G., & Bettenhausen, K. D. (2015). About the importance of autonomy and digital twins for the future of manufacturing. Ifac Papersonline, 48, 567–572.

    Article  Google Scholar 

  • Saurabh, M. (2013). Netcentric system of systems engineering with DEVS unified process.

    Google Scholar 

  • Siegfried, R., van den Berg, T., Cramp, A., & Huiskamp, W. (2014). M&S as a service: Expectations and challenges. Orlando, FL: Simulation Interoperability Workshop.

    Google Scholar 

  • Taylor, S. J. E., Fishwick, P. A., Fujimoto, R., Uhrmacher, A. M., Page, E. H., & Wainer, G. (2012). Panel on grand challenges for modeling and simulation. In Proceedings of the 2012 Winter Simulation Conference, NJ, USA.

    Google Scholar 

  • Taylor, S. J. E., Khan, A., Morse, K. L., Tolk, A., Yilmaz, L., & Zander, J. (2013). Grand challenges on the theory of modeling and simulation. In Proceedings of the Symposium on Theory of Modeling and Simulation, San Diego, CA.

    Google Scholar 

  • Taylor, S. J. E., Khan, A., Morse, K. L., Tolk, A., Yilmaz, L., Zander, J., et al. (2015). Grand challenges for modeling and simulation: simulation everywhere—from cyber infrastructure to clouds to citizens. Simulation, 91, 648–665.

    Article  Google Scholar 

  • Thomas, W. (2001). Simulation application service providing (SIM-ASP). In Proceedings of the 2001 Winter Simulation Conference Arlington, Virginia, USA.

    Google Scholar 

  • Tolk, A., & Mittal, S. (2014). A necessary paradigm change to enable compostable cloud-based M&S services. In Simulation Conference, 2014, pp. 356–366.

    Google Scholar 

  • Tsai, W. T., Fan, C., Chen, Y., & Paul, R. (2006). DDOS: A dynamic distributed service-oriented simulation framework. In Proceedings of the 39th Annual Symposium on Simulation (pp. 160–167). IEEE Computer Society (pp. 160–167).

    Google Scholar 

  • Veith, T. L., Kobza, J. E., & Koelling, C. P. (1999). Netsim: Javaâ„¢-based simulation for the world wide web. Computers & Operations Research, 26(6), 607–621.

    Article  Google Scholar 

  • Wang, S., & Wainer, G. (2015). A Mashup architecture with modeling and simulation as a service. In Proceedings of the International Conference on Web Information Systems Engineering (pp. 247–261). Springer, Cham.

    Google Scholar 

  • Wang, S., & Wainer, G. (2016). Modeling and simulation as a service architecture for deploying resources in the cloud. International Journal of Modeling, Simulation, and Scientific Computing, 07, 1641002.

    Google Scholar 

  • Weyer, S., Meyer, T., Ohmer, M., Gorecky, D., & Zühlke, D. (2016). Future modeling and simulation of CPS-based factories: An example from the automotive industry. Ifac Papersonline, 49, 97–102.

    Article  Google Scholar 

  • Whitman, L., Huff, B., & Palaniswamy, S. (1998). Commercial simulation over the web, 1, 335–339.

    Google Scholar 

  • Yilmaz, L., & Paspuleti, S. (2005). Toward a meta-level framework for agent-supported interoperation of defense simulations. Journal of Diagnostic Medical Sonography, 2, 161–175.

    Google Scholar 

  • Yingping, H., & Gregory, M. (2005). Autonomic web-based simulation. In Proceedings of the 38th Annual Symposium on Simulation (p. 8).

    Google Scholar 

  • Zeigler, P. B., Herbert, P., & Kim, G. T. (2000). Theory of modeling and simulation integrating discrete event and continuous complex dynamic systems.

    Google Scholar 

  • Zhang, Y., Li, B., Ren, L., Chai, X., & Hou, B., Research on virtualization-based simulation environment dynamically building technology for cloud simulation. In 2010 International Conference on Information Security and Artificial Intelligence.

    Google Scholar 

  • Zhao, C., Zhang, L., Liu, Y., Zhang, Z., Yang, G., & Li, B. H. (2017). Agent-based simulation platform for cloud manufacturing. International Journal of Modeling Simulation & Scientific Computing.

    Google Scholar 

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Correspondence to Lin Zhang .

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Zhang, L., Wang, F., Li, F. (2019). Cloud-Based Simulation. In: Sokolowski, J., Durak, U., Mustafee, N., Tolk, A. (eds) Summer of Simulation. Simulation Foundations, Methods and Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-17164-3_6

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  • DOI: https://doi.org/10.1007/978-3-030-17164-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17163-6

  • Online ISBN: 978-3-030-17164-3

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