[1]
Ho-Jun Lee, Jae-Woo Lee, Jeong-Oog Lee. Development of Web services-based Multidisciplinary Design Optimization framework [J]. Advances in Engineering Software, 2009, 40 (3): 176-183.
DOI: 10.1016/j.advengsoft.2008.03.015
Google Scholar
[2]
Minsoo Lee, Hyejung Yoon, Hyoseop Shin, al et. Intelligent dynamic workflow support for a ubiquitous Web service-based manufacturing environment [J]. Journal of Intelligent Manufacturing, 2009, 20(3): 295-302.
DOI: 10.1007/s10845-008-0217-y
Google Scholar
[3]
Hwa-Young Jeong. Priority Processing in the Web Service-Workflow Architecture [J]. Lecture Notes in Computer Science, 2005, 3739(1): 798-803.
Google Scholar
[4]
Tristan Glatard, Johan Montagnat, David Emsellem et al. A Service-Oriented Architecture enabling dynamic service grouping for optimizing distributed workflow execution [J]. Future Generation Computer Systems, 2008, 24(7): 720-730.
DOI: 10.1016/j.future.2008.02.011
Google Scholar
[5]
Goran Velinov, Boro Jakimovski, Darko Cerepnalkoski et al. Improvement of Data Warehouse Optimization Process by Workflow Gridification [J]. Lecture Notes in Computer Science, 2008, 5207(1): 295-304.
DOI: 10.1007/978-3-540-85713-6_21
Google Scholar
[6]
E. Caron, A. Chis, F. Desprez, A. Su. Design of plug-in schedulers for a GridRPC environment.
DOI: 10.1016/j.future.2007.02.005
Google Scholar
[7]
N. Emad, S. Shahzadeh-Fazeli, J. Dongarra. An asynchronous algorithm on the NetSolve global computing system [J], Future Generation Computer Systems, 2006, 22(3): 270-290.
DOI: 10.1016/j.future.2005.10.003
Google Scholar
[8]
Darko Anicic, Nenad Stojanovic. Future Internet Collaboration Workflow [J]. Lecture Notes in Computer Science, 2009, 5468(1): 141-151.
DOI: 10.1007/978-3-642-00985-3_12
Google Scholar
[9]
Hajo A. Reijers, Minseok Song, Byungduk Jeong. Analysis of a collaborative workflow process with distributed actors [J]. Information Systems Frontiers, 2009, 11(3): 307-322.
DOI: 10.1007/s10796-008-9092-5
Google Scholar
[10]
Yingchun Yuan, Xiaoping Li, Qian Wang et al. Deadline division-based heuristic for cost optimization in workflow scheduling [J]. Information Sciences, 2009, 179(15): 2562-2575.
DOI: 10.1016/j.ins.2009.01.035
Google Scholar
[11]
Bruce Reiner, Eliot Siegel, John A. Carrino. Workflow Optimization: Current Trends and Future Directions [J]. Journal of Digital Imaging, 2002, 15(3): 141-152.
DOI: 10.1007/s10278-002-0022-7
Google Scholar
[12]
Goldratt E M, Cox J. The Goal [M], Aldershot, England: Gower, (1993).
Google Scholar
[13]
Van Hee, Reijers H A. Design and Control of Workflow Processes [M]. Berlin: Springer-Verlag, (2003).
Google Scholar
[14]
Poysick G, Hannaford S. Workflow Reengineering [M]. Mountain View, California: Adobe Press, (1996).
Google Scholar
[15]
HU Wenjiang,GAO Yongbing,FAN Ruimin et al. Research of Workflow Optimal Strategy Based on Web Service [J]. Computer Technology and Development, 2009, 19(6): 156-159.
Google Scholar
[16]
LIU Sheng, FAN Yushun, YIN Chaowan. Method of resources configuration optimization based on workflow model [J]. Computer Integrated Manufacturing Systems, 2005, 11(9): 1272-1278.
Google Scholar
[17]
SUN Hongjun, Wan Yushun. Execution station optimization for service-oriented distributed workflow [J]. Computer Integrated Manufacturing Systems, 2009, 15(7): 1397-1405.
Google Scholar
[18]
LIU Bixin, W ANG Yufeng,JIA Yan,et a1. A role-based approach for decentralized dynamic service composition [J]. Journal of Software, 2005, 16(11): 1859-1867.
Google Scholar
[19]
Ni Li, Peng Xiaoyuan. Research on Service-Oriented SBA supporting environment [J]. Simulation Modeling Practice and Theory, 2009, 17(5): 979-989.
DOI: 10.1016/j.simpat.2009.03.002
Google Scholar
[20]
E. Bensana, M. Lemaitre. Earth Observation Satellite Management [J]. Constraints, 1999, 4(3): 293-299.
Google Scholar