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Efficient Method for Secure Key Matching Process of Large Data Set Integration in Grid Computing

机译:网格计算中大数据集集成的安全密钥匹配过程的高效方法

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To efficient process of large data set and quick integration in grid computing using the key matching, K-NN and cladogam method, that deals with lot of computing resources and each resource will locate in different locations. Data keep in various localities are searched in parallel mode and firmly accessed and permit to share the info between numerous grids by exploitation searching, key matching techniques. Key matching technique is the process in which two dataset are mapped together by matching the key. The key generated by the algorithm will be used to match the datasets. And Data integration is used to integrate different datasets from various localities into one large dataset. By using key matching algorithm the each dataset can assign different key it helps to integrate different dataset which lies in different location. This helps to integrate single level clusters into multiple clusters. From the general finding of this analysis study conjointly well-tried that our planned frame work might perform higher within the handling of huge knowledge storage and access than different existing frame work utilized in grid computing environments.
机译:为了使用键匹配,K-NN和cladogam方法高效处理大数据集并快速集成到网格计算中,该方法需要处理大量计算资源,并且每种资源都位于不同的位置。可以并行搜索并保存在各个位置的数据,并进行可靠访问,并可以通过漏洞利用搜索,关键匹配技术在众多网格之间共享信息。密钥匹配技术是通过匹配密钥将两个数据集映射到一起的过程。该算法生成的密钥将用于匹配数据集。数据集成用于将来自各地的不同数据集集成到一个大型数据集中。通过使用密钥匹配算法,每个数据集可以分配不同的密钥,这有助于集成位于不同位置的不同数据集。这有助于将单级群集集成到多个群集中。从该分析研究的总体发现出发,我们共同努力地认为,与网格计算环境中使用的现有框架不同,我们计划的框架在处理大量知识存储和访问方面的表现可能更高。

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