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

机译:迈向云中管理机器生成数据的大数据平台

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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:行业4.0提出了新一代ICT解决方案的整合,以了解工厂的监测,适应,仿真和优化。随着传感器和执行器的民主化,工厂和机床现在可以传播,并且可以利用这些设备产生的数据,以优化机器的利用以及它们的操作和维护。然而,分析所生成的大量数据是计算电源和网络带宽期间的资源要求,因此需要高度可扩展的解决方案。本文为云中的机器生成数据提供了一种新型的大数据平台。它汇集了标准开源技术,可以适应并部署在不同的云基础架构上,从而降低成本,最大限度地减少部署难度并提供对几乎无限的计算,存储和网络资源的按需访问。

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