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Efficient Hosting of Robust IoT Applications on Edge Computing Platform

机译:在边缘计算平台上高效托管强大的IoT应用程序

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Demanding IoT application requirements such as high dependability and low latency, cannot be satisfied by centralized cloud computing when deploying these applications. Edge computing is emerging as an alternative to deploy demanding IoT applications closer to the edge of the network. However, with edge computing, available resources are distributed among different resource-constrained devices, which cannot host large monolithic applications. We propose a new hierarchical IoT application model, suitable for the distributed nature of edge computing. Thus, a task in the application is modeled using multiple configurations of smaller tasks, each with their own functionality level and resource requirements. For deployment we use a decentralized resource technical framework that finds a satisfiable task mapping on edge devices. Its functionality is inspired by an auction house, having the objectives of (i) deploying an application such that its requirements are met and (ii) empowers edge devices to be in control of their available resources. For the latter, we propose a new decision policy to help edge devices take better decisions regarding the use of local available resource. Our solution enables efficient device resource utilization when deploying IoT applications at the edge.
机译:部署这些应用程序时,集中式云计算无法满足苛刻的IoT应用程序要求,例如高可靠性和低延迟。边缘计算作为一种替代方案正在兴起,可替代在网络边缘附近部署要求苛刻的IoT应用程序的方法。但是,使用边缘计算时,可用资源会在资源受限的不同设备之间分配,这些设备无法托管大型整体应用程序。我们提出了一种适用于边缘计算的分布式性质的新的分层物联网应用模型。因此,应用程序中的任务是使用较小任务的多个配置来建模的,每个任务都有自己的功能级别和资源要求。对于部署,我们使用分散式资源技术框架,该框架可在边缘设备上找到令人满意的任务映射。其功能受到拍卖行的启发,其目标是(i)部署应用程序以满足其要求,以及(ii)使边缘设备能够控制其可用资源。对于后者,我们提出了一项新的决策策略,以帮助边缘设备就本地可用资源的使用做出更好的决策。我们的解决方案可在边缘部署IoT应用程序时实现有效的设备资源利用。

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