首页> 外文OA文献 >Extending the internet of things platform OM2M for the purpose ofudstoring large amounts of data
【2h】

Extending the internet of things platform OM2M for the purpose ofudstoring large amounts of data

机译:为 ud扩展物联网平台OM2M存储大量数据

摘要

In the master's thesis, we focused on the Internet of Things and communication between devices. One of the challenges of the Internet of Things, where unlimited number of devices can be interconnected, is the control of large amounts of data generated by these devices. For this purpose, a number of IoT platforms have been developed. IoT platforms act as a link between multiple devices. They can also display, store and process data.ududFor storing data we used open source platform OM2M, which is developed in Java programming language. OM2M is based on extendable OSGi platform and uses a relational H2 database for its operation and storage, which, however, is not suitable for our use due to deficiencies. For that reason, we developed OSGi plugin which allow us to use any non-relational database. We implemented writing and reading data from/to non-relational database MongoDB.ududThrough the use of the platform, we noticed that the platform's web interface has problems in displaying large amounts of data so we added a pagination to the web interface. After implementation we tested our developed solution. It turned out that the solution helped with the speed of displaying data. We also performed the testing of the suitability of a newly developed plug-in for writing data to non-relational database MongoDB. In the end we have proven that the solution has contributed to faster data writing.
机译:在硕士论文中,我们专注于物联网和设备之间的通信。无限数量的设备可以互连的物联网的挑战之一是控制这些设备生成的大量数据。为此,已经开发了许多物联网平台。物联网平台充当多个设备之间的链接。它们还可以显示,存储和处理数据。 ud ud为了存储数据,我们使用了以Java编程语言开发的开源平台OM2M。 OM2M基于可扩展的OSGi平台,并使用关系H2数据库进行操作和存储,但是由于缺陷,它不适合我们使用。因此,我们开发了OSGi插件,该插件使我们可以使用任何非关系数据库。我们实现了从非关系数据库MongoDB读写数据。 ud ud通过使用平台,我们注意到平台的Web界面在显示大量数据方面存在问题,因此我们向Web界面添加了分页功能。实施后,我们测试了我们开发的解决方案。事实证明,该解决方案有助于显示数据的速度。我们还对新开发的插件是否适合将数据写入非关系数据库MongoDB进行了测试。最后,我们证明了该解决方案有助于更快地写入数据。

著录项

  • 作者

    Andolšek Matej;

  • 作者单位
  • 年度 2017
  • 总页数
  • 原文格式 PDF
  • 正文语种
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号