QoS-aware fog nodes placement

P. Maiti, Jaya Shukla, B. Sahoo, A. K. Turuk
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引用次数: 29

Abstract

Fog computing has appeared as a favorable technology that can bring cloud applications closer to the physical IoT devices at the network edge but there is neither a common fog computing architecture or how it supports real-time Internet of Things (IoT) service execution. Edge devices such as the switch, router, gateway, mobile phones, smart car etc., are the candidates for deployment of fog nodes but the deployment differs according to the application. In this work, we have taken gateways as candidates for fog node deployment. The gateway collects data from smart sensors, but it does not have any pre-processing or decision-making capabilities. Therefore, the gateway is made smarter with Fog capabilities and named as Fog Smart Gateway (FSG). The processing of IoT traffic is taken care of by Virtual Machines (VMs) facilitated by distributed Fog nodes. We optimized the number of fog nodes for deployment to reduce the total latency induced by traffic aggregation and processing. Our results show that the optimal deployment of fog nodes in the IoT network could yield a reduction in latency compared to processing IoT data in a conventional cloud system.
qos感知雾节点放置
雾计算已经作为一种有利的技术出现,它可以使云应用更接近网络边缘的物理物联网设备,但既没有通用的雾计算架构,也没有它如何支持实时物联网(IoT)服务的执行。边缘设备,如交换机、路由器、网关、手机、智能汽车等,都是雾节点部署的候选设备,但根据应用的不同,部署会有所不同。在这项工作中,我们将网关作为雾节点部署的候选者。网关从智能传感器收集数据,但它没有任何预处理或决策能力。因此,网关通过雾功能变得更加智能,并命名为雾智能网关(Fog Smart gateway, FSG)。物联网流量的处理由分布式雾节点促进的虚拟机(vm)负责。我们优化了雾节点的部署数量,以减少由流量聚合和处理引起的总延迟。我们的研究结果表明,与在传统云系统中处理物联网数据相比,在物联网网络中雾节点的最佳部署可以减少延迟。
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