[1] |
Huang F, Tie B, Tao J, et al. Methodology and Optimization for Implementing Cluster-Based Parallel Geospatial Algorithms with a Case Study[J]. Cluster Computing, 2019, 23(2): 1-32 doi: 10.1007/s10586-019-02944-y |
[2] |
Liu J, Pacitti E, Valduriez P, et al. A Survey of Data-Intensive Scientific Workflow Management[J]. Journal of Grid Computing, 2015, 13(4): 457-493 doi: 10.1007/s10723-015-9329-8 |
[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 doi: 10.3969/j.issn.1001-2486.2011.03.013
Zhang Weimin, Liu Cancan, Luo Zhigang.A Review on Scientific Workflows[J].Journal of National University of Defense Technology, 2011, 33(3):56-65 doi: 10.3969/j.issn.1001-2486.2011.03.013 |
[4] |
Sun C, Wang Z, Wang K, et al. Adaptive BPEL Service Compositions via Variability Management: A Methodology and Supporting Platform[J]. International Journal of Web Services Research, 2019, 16(1): 37-69 doi: 10.4018/IJWSR.2019010103 |
[5] |
Oinn T, Greenwood M, Addis M, et al. Taverna: Lessons in Creating a Workflow Environment for the Life Sciences[J].Concurrency and Computation: Practice and Experience, 2006, 18(10): 1 067-1 100 doi: 10.1002/cpe.993 |
[6] |
Taylor I, Shields M, Wang I, et al. Visual Grid Workflow in Triana[J].Journal of Grid Computing, 2005, 3(3-4): 153-169 doi: 10.1007/s10723-005-9007-3 |
[7] |
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): 1 039-1 065 doi: 10.1002/cpe.994 |
[8] |
柴胜, 周云轩.基于科学工作流的空间数据处理技术探讨[J].计算机工程与应用, 2007, 43(2): 187-189 doi: 10.3321/j.issn:1002-8331.2007.02.055
Chai Sheng, Zhou Yunxuan. Survey of Geospatial Data Processing Technology Based on Scientific Workflow[J]. Computer Engineering and Application, 2007, 43(2):187-189 doi: 10.3321/j.issn:1002-8331.2007.02.055 |
[9] |
Deelman E, Vahi K, Rynge M, et al. Pegasus in the Cloud: Science Automation Through Workflow Technologies[J]. IEEE Internet Computing, 2016, 20(1): 70-76 doi: 10.1109/MIC.2016.15 |
[10] |
Kalayci S, Dasgupta G, Fong L, et al. Distributed and Adaptive Execution of Condor DAGMan Workflows[C]. The 22nd International Conference on Software Engineering and Knowledge Engineering, San Francisco Bay, USA, 2010 |
[11] |
Reich M, Liefeld T, Gould J, et al.GenePattern 2.0[J]. Nature Genetics, 2006, 38(5): 500 doi: 10.1038/ng0506-500 |
[12] |
Maitrey S, Jha C K.MapReduce:Simplified Data Analysis of Big Data[J].Procedia Computer Science, 2015, 57: 563-571 doi: 10.1016/j.procs.2015.07.392 |
[13] |
赵勇, 李有福, 李小龙, 等.科学工作流与高性能计算集成方案[J].电子科技大学学报, 2014, 43(3):457-463 doi: 10.3969/j.issn.1001-0548.2014.03.024
Zhao Yong, Li Youfu, Li Xiaolong, et al. An Approach to Integrate Scientific Workflow with High Performance Computing[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(3):457-463 doi: 10.3969/j.issn.1001-0548.2014.03.024 |
[14] |
Liew C S, Atkinson M P, Galea M, et al. Scientific Workflows: Moving Across Paradigms[J]. ACM Computing Surveys (CSUR), 2017, 49(4): 66 http://dl.acm.org/citation.cfm?id=3012429 |
[15] |
von Laszewski G, Hategan M, Kodeboyina D. Java CoG Kit Workflow[M]//Workflows for e-Science. London: Springer, 2007: 340-356 |
[16] |
张志敏, 张天桥, 益建芳.科学工作流及其在空间决策支持系统中的应用[J].东北测绘, 2002, 25(1):28-31, 37 doi: 10.3969/j.issn.1672-5867.2002.01.009
Zhang Zhimin, Zhang Tianqiao, Yi Jianfang. Scientific Workflow and Its Application to Spatial Decision Support System[J]. Northeast Surveying and Mapping, 2002, 25(1):28-31, 37 doi: 10.3969/j.issn.1672-5867.2002.01.009 |
[17] |
万林, 谢忠, 吴信才.空间信息网格服务工作流模型及其应用[J].地球科学, 2013(S1):174-182 http://www.cnki.com.cn/Article/CJFDTotal-DQKX2013S1020.htm
Wan Lin, Xie Zhong, Wu Xincai. Spatial Information Grid Service Workflow Model and Its Application[J]. Earth Science, 2013(S1):174-182 http://www.cnki.com.cn/Article/CJFDTotal-DQKX2013S1020.htm |
[18] |
朱阿兴, 朱良君, 史亚星, 等.流域系统综合模拟与情景分析-自然地理综合研究的新范式?[J].地理科学进展, 2019, 38(8): 1 111-1 122 http://www.cqvip.com/QK/96015A/201908/7002843051.html
Zhu Axing, Zhu Liangjun, Shi Yaxing, et al. Integrated Watershed Modeling and Scenario Analysis:A New Paradigm for Integrated Study of Physical Geography?[J].Progress in Geography, 2019, 38(8):1 111-1 122 http://www.cqvip.com/QK/96015A/201908/7002843051.html |
[19] |
Xiong W, Chen L. HiGIS: An Open Framework for High Performance Geographic Information System[J]. Advances in Electrical and Computer Engineering, 2015, 15(3): 123-133 doi: 10.4316/AECE.2015.03018 |
[20] |
Moreau L, Zhao Y, Foster I, et al.XDTM: The XML Data Type and Mapping for Specifying Datasets[C].European Grid Conference, Berlin, Germany, 2005 |
[21] |
Khan S, Shakil K A, Alam M. Cloud-Based Big Data Analytics-A Survey of Current Research and Future Directions[M]//Big Data Analytics. Singapore : Springer, 2018: 595-604 |