云平台下服务资源用户查询提取仿真研究

发布时间：2018-04-17 04:18

本文选题：云计算平台 + 服务资源用户　；参考：《计算机仿真》2017年09期

【摘要】：云平台下对服务资源用户查询提取过程的研究,可更好地提升云计算平台的服务质量。对服务资源用户查询的提取,需要依据搜索策略,构建簇内消息转发机制,完成云平台下服务资源用户查询提取。传统方法先通过属性的相似度计算出彼此之间的邻接关系,促使每个邻居代表资源属性的一种变化趋势,但忽略了构建簇内消息转发机制,导致提取精度较低。提出基于模糊聚类的云平台下服务资源用户查询提取方法。上述方法先采用特征加权模糊方法对不同类型的资源节点集合进行划分,获取资源的静态数值特征与类属特征,确定与资源请求属性特征值最相似的类簇,构建簇内消息转发机制,并在簇内提取请求不能被满足时,将请求发送到与其兴趣最为相似的其它簇内,有效地完成对云平台下资源的最优提取。仿真证明,所提方法提取精度高,为提升云计算平台的服务质量奠定了基础。
[Abstract]:The research on query and extraction process of service resource users under cloud platform can improve the service quality of cloud computing platform.To extract the service resource user query, we need to construct the intra-cluster message forwarding mechanism according to the search strategy, and complete the query extraction of the service resource user under the cloud platform.The traditional method firstly calculates the adjacency between each other by the similarity of attributes, which urges each neighbor to represent a change trend of resource attributes, but neglects to construct intra-cluster message forwarding mechanism, which leads to low extraction accuracy.Based on fuzzy clustering, a query extraction method for users of service resources on cloud platform is proposed.Firstly, this method uses feature weighted fuzzy method to partition different types of resource node sets, obtains the static numerical and generic characteristics of resources, and determines the cluster that is the most similar to the attribute eigenvalue of resource request.The mechanism of intra-cluster message forwarding is constructed and the request is sent to other clusters whose interests are most similar when the request can not be satisfied. The optimal extraction of resources on cloud platform is accomplished effectively.Simulation results show that the proposed method has high extraction accuracy and lays a foundation for improving the quality of service of cloud computing platform.
【作者单位】：长春工业大学人文信息学院;
【基金】：吉林省高等教育学会高教科研课题(JGJX2016D206);吉林省高等教育学会高教科研课题(JGJX2016D207)
【分类号】：TP393.09

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