智能项目基础设施的服务和设备监控服务

M. Wiemann, C. Bornhovd, B. Mo
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引用次数: 0

摘要

它的愿景是使用普适计算技术将真实世界的数据无缝地集成到工作流和业务应用程序中。大量部署了传感器的低成本设备正在观察物理世界。这样,真实世界的数据就可以完全自动化和实时地提供给业务和工作流应用程序,而不会受到媒体中断的影响,这意味着不需要人工操作,只允许少量的数据格式自动转换。为了管理这样的设备群,需要收集诸如电池状态、CPU和内存利用率之类的状态信息。本文提出了一种分布式监控服务体系结构,用于自动采集所需的状态数据。该体系结构是根据主要由有限和低功耗设备组成的异构环境的可伸缩性需求设计的。已经实现了一个原型,并根据CPU和内存利用率进行了评估。性能分析显示了所选设计的适用性方面有希望的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Service and Device Monitoring Service for Smart Items Infrastructures
It is a vision to integrate real-world data seamlessly into workflows and business applications using ubiquitous computing technology. A large number of deployed low-cost devices enhanced with sensors is observing the physical world. That way, real-world data is provided to business and workflow applications fully automated and in real-time without suffering from media-breaks, that means no manual and only few automated transformations of data formats are allowed. Status information like battery status, CPU and memory utilization are to be gathered in order to manage such a device fleet. In this paper a distributed monitoring service architecture to gather the required status data automatically is presented. The architecture is designed with respect to scalability requirements for a heterogeneous landscape mainly consisting of limited and low-powered devices. A prototype has been implemented and evaluated with respect to CPU and memory utilization. The performance analysis showed promising results in terms of the applicability of the chosen design.
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