Implementation of K-means clustering in ECB framework of cloud computing environment

Stobak Dutta, S. Sengupta
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引用次数: 2

Abstract

In today's scenario Cloud computing technology has emerged to manage large data sets efficiently. Large amount of data is created everyday now a days hence there is a demand of running data mining algorithm on very large data sets. As there is recent fast increase in number of clouds and their services Cloud computing technology has gained more importance. To perform data mining it is required to merge distributed data and perform mining algorithm in it. This paper presents a way to implement K-Means clustering algorithm for service discovery in the Enterprise Cloud Bus architecture.
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云计算环境下ECB框架中K-means聚类的实现
在今天的场景中,云计算技术的出现是为了有效地管理大型数据集。现在每天都有大量的数据产生,因此需要在非常大的数据集上运行数据挖掘算法。随着近年来云计算及其服务数量的快速增长,云计算技术变得越来越重要。为了进行数据挖掘,需要对分布式数据进行合并,并在其中执行挖掘算法。本文提出了一种在企业云总线架构中实现K-Means聚类算法用于服务发现的方法。
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