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采用云计算的并行计算及分布式计算技术进行图书馆群资源的资源检索平台架构,改善图书馆的服务质量,提高图书馆运行效率。提出一种基于多属性灰色关联度决策的图书馆群资源检索云计算技术,构建图书馆群资源检索的二元语义决策模型,计算图书馆群资源分布的综合相对贴近度,采用规范化的云网格计算方法构建资源检索的多属性灰色关联度决策模型,实现资源检索优化。仿真结果表明,该方法进行图书馆群资源检索的图书推送准确度较高,资源分配的合理性较好,检索的计算开销缩短。
Using cloud computing parallel computing and distributed computing technology for library resource retrieval platform architecture to improve the service quality of the library and improve the efficiency of library operation. This paper proposes a cloud computing technology for library group resource retrieval based on multi-attribute gray relational decision-making, builds a binary semantic decision model of library resource retrieval, computes comprehensive relative closeness of library resource distribution, adopts standardized cloud network Grid computing method to construct multi-attribute gray relational degree decision-making model for resource retrieval, to achieve resource retrieval optimization. The simulation results show that this method has a higher accuracy of pushing books in library group resources retrieval, the rationality of resource allocation is better and the computational cost of retrieval is shortened.