Hybrid modelling and simulation of huge crowd over a hierarchical Grid architecture

被引:39
作者
Chen, Dan [1 ]
Wang, Lizhe [1 ,2 ]
Wu, Xiaomin
Chen, Jingying [3 ]
Khan, Samee U. [4 ]
Kolodziej, Joanna [5 ]
Tian, Mingwei
Huang, Fang [6 ]
Liu, Wangyang
机构
[1] China Univ Geosci, Sch Comp Sci, Wuhan 430074, Peoples R China
[2] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100864, Peoples R China
[3] Cent China Normal Univ, Wuhan, Peoples R China
[4] N Dakota State Univ, Fargo, ND 58105 USA
[5] Univ Bielsko Biala, Dept Math & Comp Sci, Bielsko Biala, Poland
[6] Univ Elect Sci & Technol China, Chengdu 610054, Peoples R China
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2013年 / 29卷 / 05期
基金
中国国家自然科学基金;
关键词
Hybrid simulation; Cluster computing; Grid computing; Crowd modelling & simulation; PERFORMANCE EVALUATION; CLOUD; SYSTEM;
D O I
10.1016/j.future.2012.03.006
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The last decade has witnessed an explosion of the interest in technologies of large simulation with the rapid growth of both the complexity and the scale of problem domains. Modelling & simulation of crowd is a typical paradigm, especially when dealing with large crowd. On top of a hierarchical Grid simulation infrastructure, a simulation of evacuating tens of thousands of pedestrians in an urban area has been constructed. The simulation infrastructure can facilitate a large crowd simulation comprising models of different grains and various types in nature. A number of agent-based and computational models residing at two distinctive administrative domains operate together, which successfully presents the dynamics of the complex scenario at scales of both individual and crowd levels. Experimental results indicate that the proposed hybrid modelling & simulation approach can effectively cope with the size and complexity of a scenario involving a huge crowd. (c) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:1309 / 1317
页数:9
相关论文
共 32 条
  • [1] [Anonymous], 2000, 1516 IEEE
  • [2] [Anonymous], 2011, GLOBUS TOOLKITS
  • [3] Buyya R, 2010, LECT NOTES COMPUT SC, V6081, P13
  • [4] Calheiros R., 2010, J SOFTWARE PRACTICE
  • [5] Calheiros R. N., 2011, 2011 International Conference on Parallel Processing, P295, DOI 10.1109/ICPP.2011.17
  • [6] Chen D., 2011, J SUPERCOMPUTING
  • [7] Towards Fault-tolerant HLA-based Distributed Simulations
    Chen, Dan
    Turner, Stephen J.
    Cai, Wentong
    [J]. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2008, 84 (10-11): : 493 - 509
  • [8] A decoupled federate architecture for high level architecture-based distributed simulation
    Chen, Dan
    Turner, Stephen John
    Cai, Wentong
    Xiong, Muzhou
    [J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2008, 68 (11) : 1487 - 1503
  • [9] Large scale agent-based simulation on the grid
    Chen, Dan
    Theodoropoulos, Georgios K.
    Turner, Stephen J.
    Cai, Wentong
    Minson, Robert
    Zhang, Yi
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2008, 24 (07): : 658 - 671
  • [10] Massively Parallel Neural Signal Processing on a Many-Core Platform
    Chen, Dan
    Wang, Lizhe
    Ouyang, Gaoxiang
    Li, Xiaoli
    [J]. COMPUTING IN SCIENCE & ENGINEERING, 2011, 13 (06) : 42 - 51