The Analysis and Application Research on the Performance of Describing Based on an Abstract Grid Workflow Language

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Grid Workflow Language Yu wan jun1,2, Liu Yunxiang1,2, Fang Hua1,2 1 Shanghai institute of technology, School of computer science and information engineering, Shanghai, 201418, China 2Shanghai institute of technology, research center of machine olfaction, Shanghai, 201418, China Key words:Intelligant System; Grid Workflow; Activity; Parallel Structure; Abstract:Grids specification is one of the imporant contents in grid workflow fields, it can shield details of underling grid, so users can concentrate on the description of Grid applications. AGWL(Abstract Grid Workflow Language) is an abstract language based on XML, it was always used to describe grid workflow. The basic activities are connected by the control flow and data link. AGWL uses advanced control flow to support the parallel execution of conditions and loops. As an example, we finally introduced a sales process to show the capacity of the grid workflow language AGWL.

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811-814

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December 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. Song, J. Singh, C.K. Koh, Y.S. Ong, C.W. See. Grid Workflow Management System. InternatiOn Technology[C], 2007, 11(4): 50-57.

Google Scholar

[2] Guanyu, Deng hui, Wang feng, Ji kaifan. Scientific workflow technology and application in astronomical research discussed[J]. Astronomical research and technology. 2011, 8(4): 403-409.

Google Scholar

[3] Huang fuhua. Summary of grid workflow technology[J]. Fujian computer. 2008(1): 1-2.

Google Scholar

[4] Li weihong, Zhang shaohua, Zhu jingcui. The researching status and existing problems of Grid workflow[J]. Computer science. 2005, 32(11): 11-15.

Google Scholar

[5] Gao juan, Jiang liqun. Web service combination is based on the WSFL[J] . Computer engineering and design. 2006, 27(9): 1652-1655.

Google Scholar

[6] Xie cuiping, Wang long, Zhao yun. Workflow language technology application research based on grid workflow[J]. Fujian computer. 2007, (3): 114-115.

Google Scholar

[7] Martin Alt, Sergei Gorlatch, Andreas Hoheisel, Hans-Werner Pohl. A Grid Workflow Language Using High-Level Petri Nets. CoreGRID Technical Report Number TR-0000[C], Institute on Grid Information and Monitoring Services CoreGRID-Network of Excellence. (2006).

DOI: 10.1007/11752578_86

Google Scholar

[8] Marian Bubak, Piotr Nowakowski, Steffem Unger. K-WfGrid –Knowledge-Based Workflow System for Grid Applications[C]. Academic Computer Centre CYFRONET AGH ul. (2006).

Google Scholar

[9] Marek Wieczorek, Thomas Fahringer. K-WfGrid Scheduler-Scheduling Grid Workflows Based on Prediction and Performance Knowledge[C]. Academic Computer Centre CYFRONET AGH ul. (2006).

Google Scholar

[10] Zeng hongwei, Li qi , Miu huaikou. A synthetic grid service and Web service workflow language[J]. Computer application and software. 2005, 22(10): 84-86.

Google Scholar

[11] Meng rongxia, Shao weimin, Xiong jilin. Designing and implementation of visualization grid workflow process definition tool[J]. Computer engineering and design. 2007, 28(14): 3361-3366.

Google Scholar

[12] Thomas Fahringer, Sabri Pllana, Alex Villazon. AGW: Abstract Grid Workflow Language[C]. Proceedings of IEEE International Symposium on Cluster Computing and the Grid. (2005).

DOI: 10.1109/ccgrid.2005.1558629

Google Scholar

[13] Thomas Fahringer, Jun Qin, Stefan Hainzer. Specification of Grid Workflow Applications with AGWL: An Abstract Grid Workflow Language[C]. Proceedings of IEEE International Symposium on Cluster Computing and the Grid. (2005).

DOI: 10.1109/ccgrid.2005.1558629

Google Scholar

[14] Jun Qin, Thomas Fahringer. Advanved Data Flow Support for Scientific Grid Workflow AppLications[C]. Proceedings of the International Conference on High Performance Computing , Networking, Storage and Analysis. (2007).

DOI: 10.1109/sc.2008.5214432

Google Scholar