Aura:基于物联网的本地化移动计算外包云基础设施

Ragib Hasan, M. Hossain, R. Khan
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引用次数: 48

摘要

许多应用程序需要本地化计算,以确保更好的性能、安全性和更低的成本。近年来,物联网(IoT)设备的出现引起了计算和通信的范式转变。物联网设备正在使我们的物理环境和基础设施变得更加智能,使普适计算成为主流。在未来五年内,将有数十亿这样的设备被部署,我们有机会利用这些设备将我们的物理环境转换为交互式、智能和智能的计算基础设施。在本文中,我们提出了Aura——一个高度本地化的基于物联网的云计算模型。Aura允许客户使用物联网和附近物理环境中的其他计算设备创建临时云,同时提供云计算的灵活性。Aura从未开发的计算资源中提供本地化的计算能力。在Aura上完成的计算非常灵活,当客户端在不同的物理位置之间移动时,客户端可以完全控制在附近设备上启动、停止、迁移和重新启动计算。为了证明Aura的可行性,我们移植了一个轻量级版本的MapReduce来运行在物联网设备上,并评估了它的性能。
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Aura: An IoT Based Cloud Infrastructure for Localized Mobile Computation Outsourcing
Many applications require localized computation in order to ensure better performance, security, and lower costs. In recent years, the emergence of Internet-of-Things (IoT) devices has caused a paradigm shift in computing and communication. IoT devices are making our physical environment and infrastructures smarter, bringing pervasive computing to the mainstream. With billions of such devices slated to be deployed in the next five years, we have the opportunity to utilize these devices in converting our physical environment into interactive, smart, and intelligent computing infrastructures. In this paper, we present Aura -- a highly localized IoT based cloud computing model. Aura allows clients to create ad hoc clouds using the IoT and other computing devices in the nearby physical environment, while providing the flexibility of cloud computing. Aura provides localized computation capability from untapped computing resources. Computations done on Aura are highly flexible, giving clients full control to start, stop, migrate, and restart computations in nearby devices as the clients move between different physical locations. To demonstrate the feasibility of Aura, we have ported a lightweight version of MapReduce to run on IoT devices, and evaluated its performance.
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