在边缘计算平台上高效托管健壮的物联网应用

Cosmin Avasalcai, Bahram Zarrin, P. Pop, S. Dustdar
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引用次数: 1

摘要

在部署这些应用时,集中式云计算无法满足高可靠性、低延迟等物联网应用需求。边缘计算正在成为部署要求苛刻的物联网应用程序的替代方案,更靠近网络边缘。然而,使用边缘计算,可用资源分布在不同的资源受限设备之间,这些设备无法承载大型单片应用程序。我们提出了一种新的分层物联网应用模型,适合边缘计算的分布式特性。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需求。对于部署,我们使用分散的资源技术框架,在边缘设备上找到一个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需求,(ii)使边缘设备能够控制其可用资源。对于后者,我们提出了一个新的决策策略,以帮助边缘设备在使用本地可用资源方面做出更好的决策。我们的解决方案可在边缘部署物联网应用程序时实现高效的设备资源利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Hosting of Robust IoT Applications on Edge Computing Platform
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.
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