Resource Aware Placement of IoT Devices in Fog Computing

Khin Nandar Tun, Aye Myat Myat Paing
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引用次数: 4

Abstract

Fog computing is the new favorable technology that can support real-time cloud application services near to the physical IoT device at the network edge rather than the cloud. It is the decentralized internet-based computing and a layer between the cloud and IoT devices. For real time analytics and critical services, it must process the data as fast as possible. Fog computing can process and manipulate the data at the network edge devices in near real time. However, there is a resource limitation because the services are performed by the fog devices at network edge. So, it needs to utilize the resources of the fog devices. As a result, the placement of IoT (edge) devices on what fog devices is considered to get the efficient resource utilization of the fog devices in this paper. In order to get efficient resource utilization of the fog devices and reduce application delay, network usage and cost of execution in cloud, Fog Node Placement algorithm that finds the fog devices which is minimum distance and enough resource for the IoT (edge) devices is proposed. In addition, the effectiveness of the algorithm will be showed by comparing with traditional cloud placement and fog cloud placement with nearest distance.
雾计算中物联网设备的资源感知放置
雾计算是一种新的有利技术,它可以支持靠近网络边缘的物理物联网设备而不是云的实时云应用服务。它是分散的基于互联网的计算,是云和物联网设备之间的一层。对于实时分析和关键服务,它必须尽可能快地处理数据。雾计算可以近乎实时地处理和操作网络边缘设备上的数据。但是,由于服务是由网络边缘的雾设备执行的,因此存在资源限制。因此,它需要利用雾装置的资源。因此,本文考虑物联网(边缘)设备在雾设备上的放置,以获得雾设备的有效资源利用。为了有效地利用雾设备的资源,降低云环境下的应用延迟、网络占用和执行成本,提出了雾节点放置算法,该算法为物联网(边缘)设备寻找距离最小且资源充足的雾设备。此外,还将通过与传统的云布局和距离最近的雾云布局进行比较,来证明算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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