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  • 标题:A Framework for Improving the Location-Based Service Using Casandra Technology
  • 本地全文:下载
  • 作者:B. Temuujin ; Jaewon Park ; Eui-In Choi
  • 期刊名称:Journal of Computer and Communications
  • 印刷版ISSN:2327-5219
  • 电子版ISSN:2327-5227
  • 出版年度:2019
  • 卷号:7
  • 期号:12
  • 页码:152-157
  • DOI:10.4236/jcc.2019.712014
  • 出版社:Scientific Research Publishing
  • 摘要:Recently, many researches on positioning technology using LBS (Location-Based Services) have been conducted with the development of wearable devices. In addition, the data used in these devices is helping to perform LBS using Big data technology. And the existing method of finding a specific location is not suitable for collecting and processing all the data [1] [2] [3] [4]. Therefore, in order to process all streaming data in real time, it is necessary to use Big data processing technology. In this paper, we use NoSQL technology to solve this problem. We propose a framework for improving the performance of LBS using NoSQL.
  • 关键词:Big Data;NoSQL;Cassandra;LBS
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