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Smart Simulation Cloud (Simulation Cloud 2.0)—The Newly Development of Simulation Cloud

  • Bohu LiEmail author
  • Guoqiang Shi
  • Tingyu Lin
  • Yingxi Zhang
  • Xudong Chai
  • Lin Zhang
  • Duzheng Qing
  • Liqin Guo
  • Chi Xing
  • Yingying Xiao
  • Zhengxuan Jia
  • Xiao Song
  • Rong Dai
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 946)

Abstract

A new scientific and technological revolution is emerging around the world and the era of “New Internet + Big Data + Artificial Intelligence+” is coming. As a third approach of understanding and transforming the world after theoretical approach and experimental approach, simulation technology faces major challenge in paradigm, approach, and ecosystem. Based on earlier researches and practices on simulation grid and simulation cloud, our team proposes smart cloud simulation (cloud simulation 2.0) based on our recent years research. The paper introduces the connotation of smart cloud simulation, and the concept model, architecture, body of knowledge, prototype, key technologies and applications of smart simulation cloud (smart cloud simulation system). The innovations of this paper are as follows. We define the connotation of newly cloud simulation the paradigm of which is interconnected, service-oriented, personalized, flexible, sociable and intelligent to satisfy the simulation demands of users at anytime, anywhere. We propose the digitizing, things-connecting, virtualization, service-oriented, collaborating and intelligent enabling technologies respectively. Moreover, typical prototype applications based on high performance simulation computers are proposed to illustrate the availability of our architecture and methods and it works well for the full cycle of simulation.

Keywords

Cloud simulation Artificial intelligence Simulation application 

References

  1. 1.
    Li, B.H., Chai, X., et al.: Some focusing points in development of modern modeling and simulation technology. J. Syst. Simul. 16(9) (2004)Google Scholar
  2. 2.
    Li, B.H., et al.: Networked modeling & simulation system based on concept of cloud computing—cloud simulation system. J. Syst. Simul. 21, 5292–5299 (2009)Google Scholar
  3. 3.
    Li, B.H., Chai, X., et al.: Virtual prototyping engineering for complex product. In: The Proceedings of SeoulSim 2001, Korea (2001)Google Scholar
  4. 4.
    Fujimoto, R.M.: Parallel simulation: parallel and distributed simulation systems. In: Winter Simulation Conference: Driving Innovation, New Orleans, Louisiana, USA. DBLP, pp. 147–157, December 2001Google Scholar
  5. 5.
    Perumalla, K.S.: Parallel and distributed simulation: traditional techniques and recent advances. In: 2006 Simulation Conference. WSC 2006. Proceedings of the Winter IEEE, pp. 84–95 (2006)Google Scholar
  6. 6.
    Peng, G., et al.: Knowledge-based resource allocation for collaborative simulation development in a multi-tenant cloud computing environment. IEEE Trans. Serv. Comput. 11(2), 306–317 (2018)Google Scholar
  7. 7.
    Barto, A.G.: Reinforcement learning. In: A Bradford Book, vol. 15, no. 7, pp. 665–685 (1998)Google Scholar
  8. 8.
    Kratzke, N.: Lightweight virtualization cluster how to overcome cloud vendor lock-in. J. Comput.-Med. Commun. 2(12), 1 (2014)CrossRefGoogle Scholar
  9. 9.
    Lee, Y.L., et al.: NCU-HA: a lightweight HA system for Kernel-based virtual machine. In: International Conference on System Technology and Service IEEE, pp. 1–6 (2017)Google Scholar
  10. 10.
    Yuan, H., et al.: Cost-aware request routing in multi-geography cloud data centres using software-defined networking. Enterp. Inf. Syst. 11(3), 359–388 (2017)Google Scholar
  11. 11.
    Yuan, H., et al.: Temporal task scheduling with constrained service delay for profit maximization in hybrid clouds. IEEE Trans. Autom. Sci. Eng. 14(1), 337–348 (2017)Google Scholar
  12. 12.
    Zhang, Y., Li, B.H., Chai, X., et al.: Research on virtualization-based simulation environment dynamically building technology for cloud simulation. In: The Proceedings of ISAI (2010)Google Scholar
  13. 13.
    Neema, H., et al.: Model-based integration system for FMI co-simulation and heterogeneous simulations of cyber-physical systems (2014)Google Scholar
  14. 14.
    Chen, Y., et al.: Real-time parallel computing system of power grid simulation based on MPI. Comput. Eng. 37(17), 268–269 (2011)Google Scholar
  15. 15.
    Knafla, B., Leopold, C.: Parallelizing a real-time steering simulation for computer games with OpenMP. In: DBLP, pp. 219–226 (2007)Google Scholar
  16. 16.
    Nyland, L., Harris, M., Prins, J.: Fast N-body simulation with CUDA. Gpu Gems (2007)Google Scholar
  17. 17.
    Fan, S., Li, B.H., Chai, X., et al.: Research on complex system qualitative and quantitative modeling technology. J. Syst. Simul.Google Scholar
  18. 18.
    Wu, Y., Song, X., Gong, G.: Real-time load balancing scheduling algorithm for periodic simulation models. Simul. Model. Pract. Theory 52(1), 123–134 (2015)CrossRefGoogle Scholar
  19. 19.
    Fan, S., Li, B.H., Chai, X., et al.: Research on complex system quantitative and qualitative synthetic M&S system. In: Proceedings of Summer Computer Simulation Conference (2009)Google Scholar
  20. 20.
    Song, X., et al.: Selfishness- and selflessness-based models of pedestrian room evacuation. Phys. A: Stat. Mech. Appl. 447(4), 455–466 (2016)CrossRefGoogle Scholar
  21. 21.
    Li, B.H., Chai, X., Hou, B., et al.: Research and application on CoSim (Collaborative Simulation) Grid. In: The Proceeding of MS-MTSA 2006 (2006)Google Scholar
  22. 22.
    Li, B.H., Chai, X., Hou, B., et al.: Some key technologies in complex system modeling and simulation. In: Xiangshan Science Conference (2010)Google Scholar
  23. 23.
    Li, T., Chai, X., Hou, B., et al.: Research and application on meta modeling framework of complex product multidiscipline virtual prototype. In: The Proceeding of ICMSC (2010)Google Scholar
  24. 24.
    Zhang, Z., Li, B.H., Chai, X., et al.: Research on high performance RTI architecture based on shared memory. In: The Proceedings of ICCEE (2010)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Bohu Li
    • 1
    • 2
    • 3
    Email author
  • Guoqiang Shi
    • 1
    • 2
    • 3
  • Tingyu Lin
    • 1
    • 2
    • 3
  • Yingxi Zhang
    • 1
    • 2
  • Xudong Chai
    • 4
  • Lin Zhang
    • 5
  • Duzheng Qing
    • 5
  • Liqin Guo
    • 1
    • 2
    • 3
  • Chi Xing
    • 1
    • 2
    • 3
  • Yingying Xiao
    • 1
    • 2
    • 3
  • Zhengxuan Jia
    • 1
    • 2
  • Xiao Song
    • 5
  • Rong Dai
    • 6
  1. 1.Beijing Complex Product Advanced Manufacturing Engineering Research CenterBeijing Simulation CenterBeijingChina
  2. 2.State Key Laboratory of Intelligent Manufacturing System TechnologyBeijing Institute of Electronic System EngineeringBeijingChina
  3. 3.Science and Technology on Space System Simulation LaboratoryBeijing Simulation CenterBeijingChina
  4. 4.CASICloudBeijingChina
  5. 5.School of Mechanical Engineering and AutomationBeihang UniversityBeijingChina
  6. 6.Dawning Information Industry Co., Ltd.BeijingChina

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