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Web网络大数据的聚类中心调度技术研究

肖铮 董祥千 赵文革

现代电子技术2017,Vol.40Issue(24):25-27,3.
现代电子技术2017,Vol.40Issue(24):25-27,3.DOI:10.16652/j.issn.1004-373x.2017.24.008

Web网络大数据的聚类中心调度技术研究

Research on clustering center scheduling technology for Web network big data

肖铮 1董祥千 1赵文革1

作者信息

  • 1. 成都东软学院,四川 成都 611844
  • 折叠

摘要

Abstract

In allusion to the problem of the inaccurate scheduling precision of the traditional scheduling method,a research scheme of clustering center scheduling technology for Web network big data is proposed. The Web network big data scheduling model is reconstructed for effective data recognition. The K-means algorithm in clustering center is optimized to resolve the prob-lem of poor big data scheduling capability and improve the big data scheduling capability in clustering center. The constructed scheduling model is employed to accomplish the data scheduling of clustering center in the Web network big data environment. The contrast simulation experiment was carried out. The experimental data effectively demonstrates the validity of the clustering center scheduling technology for Web network big data.

关键词

Web网络大数据/聚类中心/调度技术/数据识别/数据调度

Key words

Web network big data/clustering center/scheduling technology/data identification/data scheduling

分类

信息技术与安全科学

引用本文复制引用

肖铮,董祥千,赵文革..Web网络大数据的聚类中心调度技术研究[J].现代电子技术,2017,40(24):25-27,3.

基金项目

四川省自然科学基金(17ZB0005) (17ZB0005)

现代电子技术

OA北大核心CSTPCD

1004-373X

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