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Reusable component model development approach for parallel and distributed simulation.

作者信息

Zhu Feng, Yao Yiping, Chen Huilong, Yao Feng

机构信息

State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha 410073, China ; College of Information System and Management, National University of Defense Technology, Changsha 410073, China.

State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha 410073, China.

出版信息

ScientificWorldJournal. 2014 Mar 3;2014:696904. doi: 10.1155/2014/696904. eCollection 2014.

DOI:10.1155/2014/696904
PMID:24729751
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3960566/
Abstract

Model reuse is a key issue to be resolved in parallel and distributed simulation at present. However, component models built by different domain experts usually have diversiform interfaces, couple tightly, and bind with simulation platforms closely. As a result, they are difficult to be reused across different simulation platforms and applications. To address the problem, this paper first proposed a reusable component model framework. Based on this framework, then our reusable model development approach is elaborated, which contains two phases: (1) domain experts create simulation computational modules observing three principles to achieve their independence; (2) model developer encapsulates these simulation computational modules with six standard service interfaces to improve their reusability. The case study of a radar model indicates that the model developed using our approach has good reusability and it is easy to be used in different simulation platforms and applications.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/a6116f66c210/TSWJ2014-696904.alg.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/8099e8d9daa8/TSWJ2014-696904.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/1de5dee5429a/TSWJ2014-696904.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/ff57f48fa8c6/TSWJ2014-696904.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/e27c3aaacf03/TSWJ2014-696904.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/bec3c19aeb27/TSWJ2014-696904.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/be6cdf0fb037/TSWJ2014-696904.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/e8a3b5065d91/TSWJ2014-696904.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/1b21946221c4/TSWJ2014-696904.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/34286fe435be/TSWJ2014-696904.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/ed371eaa4989/TSWJ2014-696904.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/43fc85e3dfcf/TSWJ2014-696904.011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/a6116f66c210/TSWJ2014-696904.alg.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/8099e8d9daa8/TSWJ2014-696904.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/1de5dee5429a/TSWJ2014-696904.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/ff57f48fa8c6/TSWJ2014-696904.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/e27c3aaacf03/TSWJ2014-696904.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/bec3c19aeb27/TSWJ2014-696904.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/be6cdf0fb037/TSWJ2014-696904.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/e8a3b5065d91/TSWJ2014-696904.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/1b21946221c4/TSWJ2014-696904.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/34286fe435be/TSWJ2014-696904.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/ed371eaa4989/TSWJ2014-696904.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/43fc85e3dfcf/TSWJ2014-696904.011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16b1/3960566/a6116f66c210/TSWJ2014-696904.alg.001.jpg

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