arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1507.01368cs.CY
收藏

物联网背景下的智能数据

Intelligent Data in the context of the internet-of-things

Rakhi Misuriya Gupta

摘要:

物联网的出现将使我们能够优化设备和资源的使用,提高自动化效率,并实现新的更具成本效益的商业模式。随着巨大的增长机会的出现,挑战也随之而来,例如跨越多个网络的各种设备,管理传感器生成数据的指数增长以及以有意义的方式理解大量涌入的数据的需求。多样性的多样性可以通过从根本上开放系统,架构和应用程序来最好地解决。为了更进一步,真正利用传感器数据的价值,还需要实时分析来获取情报并在事件发生时做出响应。历史分析可用于寻找趋势,分析传感器数据的相关性,并根据使用情况和模式制定提示和建议。在本文中,我们提出了一个框架,克服了多样性,通过其灵活地表示在互联网上的传感器数据的能力。业务目标驱动的信息处理、信息衍生的智能和信息控制作为框架的元素,可以进一步使得能够创建新的和创新的应用,从而增强和利用物联网的价值。

英文摘要:

Advent of the Internet-of-Things will allow us to optimize equipment and resource usage, enabling increased efficiencies in automation and enabling new and more cost efficient business model. As tremendous growth opportunities emerge, so do the challenges such as diverse devices spanning across multiple networks, the need to manage the exponential growth of sensor generated data and to make sense of the huge influx of data in meaningful ways. The multitude of diversity can best be addressed by fundamentally opening up systems, architecture and applications. To go the next step and truly exploit the value of the sensor data would further require real-time analytics to gain intelligence and respond to events as they happen. Historical analysis can be used to look for trends, analyze collections of sensor data for correlation and formulate hints and suggestions based on usage and patterns. In this paper, we present a framework that overcomes diversity through its ability to flexibly represent sensor data on the internet. Business goals-driven information processing, information derived intelligence and information control as elements of the framework can further enable creation of new and innovative applications that enhance and exploit the value of Internet-of-Things.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑