基于元Web服务的分布式模型管理与组合方法

Xianglan Han, Yangguang Liu, Bin Xu, Gang Zhang
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引用次数: 0

摘要

为满足分布式网络环境下快速、正确地进行科学决策的需要,提出了一种基于元Web服务的分布式模型管理与组合方法。设计了Meta web服务的总体框架,并对各组成部分进行了分析。给出了一种改进的模型服务匹配算法。利用后向推理技术动态、自动地组合模型服务,给出了使用多个模型服务组合成单个服务的流程。与传统的模型管理方法相比,该方法具有模型远程调用和运行、自动组合和执行等功能,为解决复杂问题的决策支持系统提供了一种构建模型系统的新途径。
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Meta Web Service based Distributed Model Management and Composition Approach
To satisfy the requirement of making scientific decision quickly and correctly in distributed network environment, a Meta Web Service based Distributed Model Management and Composition Approach is proposed. The Overall framework of Meta web service is designed, and each component is analyzed. An improved model service matching algorithm is given. Utilizing backward reasoning technique to compose model services dynamically and automatically, a process is then given which uses several model services to compose to make a single service. Compared with traditional model management approach, the approach provided here has the functions of model remote calling and running, automatic composing and executing etc., which provide a new approach to build model system for decision support system solving complex problems.
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