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Storage on the Edge: Evaluating Cloud Backed Edge Storage in Cyberphysical Systems

机译:边缘存储:在私人系统中评估云支持边缘存储

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摘要

Effective control of emerging cyberphysical systems such as smart transportation, smart health-care, etc. requires edge computing infrastructure that is often organized into three layers, namely edge (IoT) devices, edge controllers (ECs) and the cloud. In large infrastructures, ECs must be deployed densely in the proximity of edge devices and need to satisfy strict constraints on cost, size, cooling, etc. Thus, ECs cannot host large amounts of local storage and instead must make use of cloud storage in the background to provide an impression of large, fast local storage to host the IoT device data needed for online and real-time queries. In this paper, we provide insights into the configuration issues of such an edge storage infrastructure (ESI) based on the evaluation of commercial ESIs on several real-world edge computing workloads. We also show that the current ESI designs are lacking in several respects, and suggest some approaches for enhancing their capabilities to meet the stringent requirements of emerging edge computing applications.
机译:有效地控制智能运输,智能保健等的新兴媒介物理系统需要边缘计算基础设施,通常组织成三层,即边缘(IOT)设备,边缘控制器(ECS)和云。在大型基础设施中,ECS必须密集地部署在边缘设备附近,并且需要满足严格的成本,尺寸,冷却等限制。因此,EC不能托管大量的本地存储,而是必须使用云存储背景技术为托管在线和实时查询所需的IOT设备数据的大型快速本地存储的印象。在本文中,我们根据商业IERS对几个真实世界边缘计算工作负载的评估提供了对这种边缘存储基础设施(ESI)的配置问题的见解。我们还表明,目前的ESI设计缺乏多个方面,并提出了一些提高其能力以满足新兴边缘计算应用程序的严格要求的方法。

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