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Towards a big data platform for managing machine generated data in the cloud

机译:迈向用于管理云中机器生成的数据的大数据平台

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Industry 4.0 proposes the integration of the new generation of ICT solutions for the monitoring, adaptation, simulation, and optimisation of factories. With the democratization of sensors and actuators, factories and machine tools can now be sensorized and the data generated by these devices can be exploited, for instance, to optimize the utilization of the machines as well as their operation and maintenance. However, analysing the vast amount of data generated is resource demanding both in term of computing power and network bandwidth, thus requiring highly scalable solutions. This paper presents a novel big data platform for the management of machine generated data in the cloud. It brings together standard open source technologies which can be adapted to and deployed on different cloud infrastructures, hence reducing costs, minimising deployment difficulty and providing on-demand access to a virtually infinite set of computing, storage and network resources.
机译:工业4.0建议集成新一代ICT解决方案,用于工厂的监视,调整,模拟和优化。随着传感器和执行器的民主化,现在可以对工厂和机床进行传感,并且可以利用这些设备生成的数据,例如,以优化机器的利用率以及它们的操作和维护。但是,就计算能力和网络带宽而言,分析生成的大量数据对资源的需求很大,因此需要高度可伸缩的解决方案。本文提出了一种新颖的大数据平台,用于管理云中机器生成的数据。它汇集了可适应并部署在不同云基础架构上的标准开源技术,从而降低了成本,最大程度地降低了部署难度,并提供了对几乎无限量的计算,存储和网络资源的按需访问。

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