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

Previous Articles     Next Articles

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

RICH HTML

0   

PDF (PC)

580

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.
[1] LIU Fu,ZONG Yu-xuan,KANG Bing,ZHANG Yi-meng,LIN Cai-xia,ZHAO Hong-wei. Dorsal hand vein recognition system based on optimized texture features [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1844-1850.
[2] WANG Li-min,LIU Yang,SUN Ming-hui,LI Mei-hui. Ensemble of unrestricted K-dependence Bayesian classifiers based on Markov blanket [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1851-1858.
[3] JIN Shun-fu,WANG Bao-shuai,HAO Shan-shan,JIA Xiao-guang,HUO Zhan-qiang. Synchronous sleeping based energy saving strategy of reservation virtual machines in cloud data centers and its performance research [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1859-1866.
[4] ZHAO Dong,SUN Ming-yu,ZHU Jin-long,YU Fan-hua,LIU Guang-jie,CHEN Hui-ling. Improved moth-flame optimization method based on combination of particle swarm optimization and simplex method [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1867-1872.
[5] LIU En-ze,WU Wen-fu. Agricultural surface multiple feature decision fusion disease judgment algorithm based on machine vision [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1873-1878.
[6] OUYANG Dan-tong, FAN Qi. Clause-level context-aware open information extraction [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1563-1570.
[7] LIU Fu, LAN Xu-teng, HOU Tao, KANG Bing, LIU Yun, LIN Cai-xia. Metagenomic clustering method based on k-mer frequency optimization [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1593-1599.
[8] GUI Chun, HUANG Wang-xing. Network clustering method based on improved label propagation algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1600-1605.
[9] LIU Yuan-ning, LIU Shuai, ZHU Xiao-dong, CHEN Yi-hao, ZHENG Shao-ge, SHEN Chun-zhuang. LOG operator and adaptive optimization Gabor filtering for iris recognition [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1606-1613.
[10] CHE Xiang-jiu, WANG Li, GUO Xiao-xin. Improved boundary detection based on multi-scale cues fusion [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1621-1628.
[11] ZHAO Hong-wei, LIU Yu-qi, DONG Li-yan, WANG Yu, LIU Pei. Dynamic route optimization algorithm based on hybrid in ITS [J]. 吉林大学学报(工学版), 2018, 48(4): 1214-1223.
[12] HUANG Hui, FENG Xi-an, WEI Yan, XU Chi, CHEN Hui-ling. An intelligent system based on enhanced kernel extreme learning machine for choosing the second major [J]. 吉林大学学报(工学版), 2018, 48(4): 1224-1230.
[13] FU Wen-bo, ZHANG Jie, CHEN Yong-le. Network topology discovery algorithm against routing spoofing attack in Internet of things [J]. 吉林大学学报(工学版), 2018, 48(4): 1231-1236.
[14] CAO Jie, SU Zhe, LI Xiao-xu. Image annotation method based on Corr-LDA model [J]. 吉林大学学报(工学版), 2018, 48(4): 1237-1243.
[15] HOU Yong-hong, WANG Li-wei, XING Jia-ming. HTTP-based dynamic adaptive streaming video transmission algorithm [J]. 吉林大学学报(工学版), 2018, 48(4): 1244-1253.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] LIU Song-shan, WANG Qing-nian, WANG Wei-hua, LIN Xin. Influence of inertial mass on damping and amplitude-frequency characteristic of regenerative suspension[J]. 吉林大学学报(工学版), 2013, 43(03): 557 -563 .
[2] CHU Liang, WANG Yan-bo, QI Fu-wei, ZHANG Yong-sheng. Control method of inlet valves for brake pressure fine regulation[J]. 吉林大学学报(工学版), 2013, 43(03): 564 -570 .
[3] LI Jing, WANG Zi-han, YU Chun-xian, HAN Zuo-yue, SUN Bo-hua. Design of control system to follow vehicle state with HIL test beach[J]. 吉林大学学报(工学版), 2013, 43(03): 577 -583 .
[4] HU Xing-jun, LI Teng-fei, WANG Jing-yu, YANG Bo, GUO Peng, LIAO Lei. Numerical simulation of the influence of rear-end panels on the wake flow field of a heavy-duty truck[J]. 吉林大学学报(工学版), 2013, 43(03): 595 -601 .
[5] WANG Tong-jian, CHEN Jin-shi, ZHAO Feng, ZHAO Qing-bo, LIU Xin-hui, YUAN Hua-shan. Mechanical-hydraulic co-simulation and experiment of full hydraulic steering systems[J]. 吉林大学学报(工学版), 2013, 43(03): 607 -612 .
[6] ZHANG Chun-qin, JIANG Gui-yan, WU Zheng-yan. Factors influencing motor vehicle travel departure time choice behavior[J]. 吉林大学学报(工学版), 2013, 43(03): 626 -632 .
[7] MA Wan-jing, XIE Han-zhou. Integrated control of main-signal and pre-signal on approach of intersection with double stop line[J]. 吉林大学学报(工学版), 2013, 43(03): 633 -639 .
[8] YU De-xin, TONG Qian, YANG Zhao-sheng, GAO Peng. Forecast model of emergency traffic evacuation time under major disaster[J]. 吉林大学学报(工学版), 2013, 43(03): 654 -658 .
[9] XIAO Yun, LEI Jun-qing, ZHANG Kun, LI Zhong-san. Fatigue stiffness degradation of prestressed concrete beam under multilevel amplitude cycle loading[J]. 吉林大学学报(工学版), 2013, 43(03): 665 -670 .
[10] XIAO Rui, DENG Zong-cai, LAN Ming-zhang, SHEN Chen-liang. Experiment research on proportions of reactive powder concrete without silica fume[J]. 吉林大学学报(工学版), 2013, 43(03): 671 -676 .
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd