用于收集、分析、处理来自多个异构传感器系统的数据和商业智能应用开发的智能中间件平台

L. Perlepes, C. Smailis, Dimitris Dres, D. Drakoulis, J. Soldatos
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引用次数: 1

摘要

“物联网”和“服务互联网”预计将在未来几年在我们的生活中发挥重要作用。其组件的多功能性以及除了来自不同提供者的信息之外还能够获取和使用无处不在的服务的能力是扩展的主要挑战之一。主要的信息生产者将由小型智能对象网络组成。这些互联的智能节点配备不同的微控制器,使用不同的网络协议,具有不同的操作要求。为了在商业智能应用中管理智能节点及其数据,我们提出了一个能够面对所有类型异构的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PLATO - Intelligent Middleware Platform for the Collection, Analysis, Processing of Data from Multiple Heterogeneous Sensor Systems and Application Development for Business Intelligence
The "Internet of Things" along with the "Internet ofServices" is expected to undertake a significant role in our lives for the years to come. The versatility of its components and the ability to harvest, as well as consume, ubiquitous services in addition to information from different providers, are among the main challenges for the expansion. Main information producers will consist of networks of small smart objects. These interconnected smart nodes are equipped with different micro controllers, use different network protocols and have different operational requirements. In this paper we propose a framework that confronts all types of heterogeneities in order to manage smart nodes and their data in business intelligence applications.
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