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中文摘要：
针对现有模型分割方法在工作流执行效率、成本和可靠性等方面存在的不足，提出一种基于组织和资源服务约束的分布式工作流执行站点优化方法。通过扩展现有服务工作流网，增加协同组织服务、资源服务和角色三要素，以组合服务质量最优为目标，从全局和局部两个方面分别获得各局部流程最佳执行站点。最后，通过一个应用实例，验证了该方法的可用性，并对两种方法进行了对比。
英文摘要：
Aiming at deficiencies of existing workflow model fragmentation methods in efficiency, cost, and reliability, an execution station optimization approach for distributed workflow was proposed based on organization and resource service constraint. By extending current service workflow net, adding collaborative organization service, resource service and role, and optimum combinatorial service quality as objective, the global and local execution station optimization algorithms were used to respectively obtain the optimum execution station for each local process. Finally, an example was presented to illustrate the feasibility of this approach, and the global and local algorithms were compared.
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