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An Innovative Approach of Data Grid Consistency Using Tree-Based Clustering

机译:基于树的聚类的数据网格一致性的创新方法

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Nowadays, Data Grids can be seen as a frameworks responding to the needs of large scale applications by affording varied geographically distributed resources set. The main aim here is to ensure flexible and efficient access and quality data, to improve the availability and accessibility, we must improve scalability and efficient usability of Grid to reduce application communication costs and request average response times. In relation with the problem of the coherence maintenance of replicas, we propose a Tree-Based Clustering method which not only organizes those replicas having similarity in demand number into clusters hierarchically looking like trees, but also tries to choose the shortest connection so that communication cost, average response time and total data transferred through Grid will be reduced.
机译:如今,通过提供不同的地理上分布式资源集,可以看到数据网格作为响应大规模应用需求的框架。 这里的主要目的是确保灵活高效的访问和质量数据,提高可用性和可访问性,必须提高网格的可扩展性和有效的可用性,以降低应用程序通信成本并要求平均响应时间。 在与副本的相干性维护问题相关的情况下,我们提出了一种基于树的聚类方法,该方法不仅会组织需求号的相似性的那些副本,而且分层看起来像树木,也试图选择最短的连接,以便沟通成本 ,通过网格传输的平均响应时间和总数据将减少。

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