吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (6): 2007-2013.doi: 10.13229/j.cnki.jdxbgxb201506039

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Workflow modeling and its application in lunar data pre-processing

TAN Xu1,2, LIU Jian-jun1,2, LI Chun-lai1,2   

  1. 1.National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China;
    2.Key Laboratory of Lunar and Deep Space Exploration, Chinese Academy of Sciences, Beijing 100012, China
  • Received:2014-03-26 Online:2015-11-01 Published:2015-11-01

Abstract: In order to adapt the characters in the data process of Lunar Exploration, the workflow technology is proposed to deal with the situation that research excessively depends on software development. Yet the data process of Lunar Exploration can not be represented by the current workflow process definition meta-models. An innovative extended workflow process definition meta-model is proposed with the data model and the process model. Base on that, the extended data model and process model are studied. The data relationship is established through product tree that data are encapsulated and layered in order to facilitate the modeling. To reduce the modeling complexity of the mathematical formulas using DAG, semantic modeling based on MathML is approached. The Data Processing on Chang'E-3 is used to verify the model. Results show that the flexibility in data pre-processing system of Lunar Exploration Project can be solved. Prototype software has already been used in Lunar Exploration.

Key words: computer application, scientific workflow, Chang'E-3, data pre-processing system, workflow modeling

CLC Number: 

  • TP391
[1] Ludäscher B, Bowers S, Mcphillips T, et al. Scientific workflows: more e-science mileage from cyberinfrastructure[C]∥Second IEEE International Conference on e-Science and Grid Computing, Amsterdam, The Netherlands,2006:145-152.
[2] Holl S, Zimmermann O, Palmblad M, et al. A new optimization phase for scientific workflow management systems[J]. Future Generation Computer Systems,2014,36(7):352-362.
[3] 张卫民,刘灿灿,骆志刚. 科学工作流技术研究综述[J]. 国防科技大学学报,2011,33(3):56-65.
Zhang Wei-min, Liu Can-can, Luo Zhi-gang. A review on scientific workflows[J]. Journal of National University of Defense Technology,2011,33(3):56-65.
[4] Deelman E, Singh G, Su M H, et al. Pegasus: a framework for mapping complex scientific workflows onto distributed systems[J]. Scientific Programming, 2005,13(3):219-237.
[5] Oinn T, Addis M, Ferris J, et al. Taverna: a tool for the composition and enactment of bioinformatics workflows[J]. Bioinformatics,2004,20(17):3045-3054.
[6] Ludäscher B, Altintas I, Berkley C, et al. Scientific workflow management and the Kepler system[J]. Concurrency and Computation: Practice and Experience,2006,18(10):1039-1065.
[7] Majithia S, Shields M, Taylor I, et al. Triana: a graphical web service composition and execution toolkit[C]∥IEEE International Conference on Web Services, San Diego, California, USA, 2004:514-521.
[8] Wang F,Deng H,Liang B,et al. A study on a lightweight scientific workflow system for astronomical e-science service[C]∥Third International Symposium on Intelligent Information Technology Application, Nanchang, China,2009:69-72.
[9] Wolfmuller M, Dietrich D, Sireteanu E, et al. Data flow and workflow organization—the data management for the TerraSAR-X payload ground segment[J]. IEEE Transactions on Geoscience and Remote Sensing,2009,47(1):44-50.
[10] Turuncoglu U U, Murphy S, DeLuca C, et al. A scientific workflow environment for Earth system related studies[J]. Computers & Geosciences,2011,37(7):943-952.
[11] Turuncoglu U U, Dalfes N, Murphy S, et al. Toward self-describing and workflow integrated Earth system models: a coupled atmosphere-ocean modeling system application[J]. Environmental Modelling & Software,2013,39:247-262.
[12] 赵文, 胡文蕙, 张世琨, 等. 工作流元模型的研究与应用[J]. 软件学报,2003,14(6):1052-1059.
Zhao Wen, Hu Wen-hui, Zhang Shi-kun, et al. Study and application of a workflow meta-model[J]. Journal of Software,2003,14(6):1052-1059.
[13] Hollingsworth D. The workflow reference model[DB/OL].[2013-06-01].http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.198.5206&rep=rep1&type=pdf.
[14] JPL. Planetary data system standards reference[DB/OL].[2013-07-01].http://pds.nasa.gov/pds4/doc/sr/current/StdRef_4.0.8_130507_v1.pdf.
[15] PDS4 Information Model Specification Team. PDS4 information model specification[DB/OL].[2013-07-01].http://pds.nasa.gov/pds4/doc/im/current/.
[16] Ausbrooks R,Buswell S,Carlisle D,et al. Mathematical markup language (MathML) version 3.0[DB/OL]. [2013-10-01]. http://www.w3.org/TR/MathML3.
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