Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm

Mohit Taneja, A. Davy
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引用次数: 274

Abstract

With the evolving IoT scenario, computing has spread to the most minuscule everyday activities, leading to a momentous shift in the way applications are developed and deployed. With the volume of impact increasing exponentially, a coherent approach of deploying these applications is critical for an efficient utilization of the network infrastructure. A typical IoT application consists of various modules running together with active interdependencies; traditionally running on the Cloud hosted in global data centres. In this paper, we present a Module Mapping Algorithm for efficient utilization of resources in the network infrastructure by efficiently deploying Application Modules in Fog-Cloud Infrastructure for IoT based applications. With Fog computing into picture, computation is dynamically distributed across the Fog and Cloud layer, and the modules of an application can thus be deployed closer to the source on devices in the Fog layer. The result of this work can serve as a Micro-benchmark in studies/research related with IoT and Fog Computing, and can be used for Quality of Service (QoS) and Service Level Objective benchmarking for IoT applications. The approach is generic, and applies to a wide range of standardized IoT applications over varied network topologies irrespective of load.
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雾云计算范式中物联网应用模块的资源感知放置
随着物联网场景的不断发展,计算已经扩展到最微小的日常活动,导致应用程序开发和部署方式的重大转变。随着影响的数量呈指数级增长,部署这些应用程序的一致方法对于有效利用网络基础设施至关重要。典型的物联网应用程序由各种模块组成,这些模块具有积极的相互依赖性;传统上运行在托管于全球数据中心的云上。在本文中,我们提出了一种模块映射算法,通过在基于物联网的应用中高效地部署雾云基础设施中的应用模块来有效利用网络基础设施中的资源。随着雾计算进入画面,计算在雾层和云层之间动态分布,应用程序的模块因此可以部署在雾层中离源更近的设备上。这项工作的结果可以作为与物联网和雾计算相关的研究/研究中的微基准,并可用于物联网应用的服务质量(QoS)和服务水平目标基准。该方法是通用的,适用于各种网络拓扑结构上的各种标准化物联网应用,无论负载如何。
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