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Performance comparison of container orchestration platforms with low cost devices in the fog, assisting Internet of Things applications

机译:雾中低成本设备的容器编排平台的性能比较,辅助物联网应用

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In the last decade there has been an increasing interest and demand on the Internet of Things (IoT) and its applications. But, when a high level of computing and/or real time processing is required for these applications, different problems arise due to their requirements. In this context, low cost autonomous and distributed Small Board Computers (SBC) devices, with processing, storage capabilities and wireless communications can assist these IoT networks. Usually, these SBC devices run an operating system based on Linux. In this scenario, container-based technologies and fog computing are an interesting approach and both have led to a new paradigm in how devices cooperate, improving overall capacity in a cluster of these SBC devices. The use of containers is considered a lightweight virtualization, allowing an application to be broken into small tasks as services, enabling load balancing, flexibility and scalability. Nevertheless when the number of devices and containers increases in the cluster, it is required an orchestration layer. There are not many solutions and available alternatives using these technologies applied on these networks, and less an assessment of their performances. This paper focuses on these technologies when we use fog computing with low cost SBC devices in a context of IoT. We use Linux containers and different available orchestration platforms (in particular Docker Swarm and Kubernetes), to run on the top of the cluster of commercial SBC devices. Thus, we carry out a thorough functional and performance comparison with different real topologies (wired and wireless) and using both homogeneous and heterogeneous clusters of SBC devices, showing their results. We conclude that with the collected experimental results, Docker Swarm orchestration platform outperforms its counterparts in the scenarios shown.
机译:在过去十年中,对事物互联网(物联网)及其应用有所增加。但是,当这些应用程序需要高水平的计算和/或实时处理时,由于其要求,出现了不同的问题。在这种情况下,低成本的自主和分布式小型电脑计算机(SBC)设备,具有处理,存储能力和无线通信可以帮助这些物联网网络。通常,这些SBC设备运行基于Linux的操作系统。在这种情况下,基于容器的技术和雾计算是一种有趣的方法,两者都导致了设备如何合作,提高这些SBC设备集群中的整体容量的新范式。容器的使用被认为是轻量级虚拟化,允许应用程序作为服务中的小型任务分为小型任务,从而实现负载平衡,灵活性和可扩展性。然而,当集群中的设备和容器的数量增加时,需要编排层。使用这些技术应用于这些网络的解决方案和可用的替代方案,并减少对其表演的评估。当我们在IOT的背景下使用低成本SBC设备使用低成本SBC设备时,本文侧重于这些技术。我们使用Linux容器和不同的供电程序平台(特别是Docker Swarm和Kubernetes),以在商业SBC设备集群的顶部运行。因此,我们对不同的实际拓扑(有线和无线)进行了彻底的功能和性能比较,并使用SBC器件的均匀和异质簇,显示其结果。我们得出结论,通过收集的实验结果,Docker Swarm Orchestration平台在所示的情况下优于其对应物。

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