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Data and control points: A programming model for resource-constrained iot cloud edge devices

机译:数据和控制点:资源受限的物联网云边缘设备的编程模型

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Recent emergence of IoT Cloud systems has fostered proliferation of various applications mainly driven by urgent need to respond to volume, velocity and variety of data generated by IoT Cloud, but also to enable timely propagation of actuation decisions, crucial for business operation, to the Edge of the infrastructure. In such systems, utilizing currently untapped Edge resources such as sensory gateways, and enabling the IoT devices as first-class execution environments plays a crucial role. However, enabling virtually exclusive access to the underlying devices, e.g., field bus sensors and supporting flexible, application-specific customizations for such devices still remain a challenge. In this paper, we introduce Data- and Control Points - a novel programming model and framework for developing applications specifically tailored for resource-constrained Edge devices. Our framework offers programming constructs that enable applications to define custom configurations for and their own view of the underlying devices. By providing an illusion of an exclusive access to the underlying sensors and actuators, our framework supports execution of multiple applications within a single Edge device.
机译:IoT Cloud系统的最新出现促进了各种应用程序的扩散,这主要是由于迫切需要对IoT Cloud生成的数据的数量,速度和种类做出响应,而且还需要将对业务运营至关重要的促动决策及时传播到Edge基础架构。在这样的系统中,利用当前尚未开发的Edge资源(例如,传感网关),并使IoT设备成为一流的执行环境,将起到至关重要的作用。但是,实现对诸如现场总线传感器之类的底层设备的虚拟排他访问以及为此类设备支持灵活的,针对特定应用的定制仍然是一个挑战。在本文中,我们介绍数据和控制点-一种新颖的编程模型和框架,用于开发专门为资源受限的Edge设备量身定制的应用程序。我们的框架提供了编程构造,使应用程序可以定义自定义配置及其对底层设备的看法。通过提供对底层传感器和执行器的独占访问的错觉,我们的框架支持在单个Edge设备中执行多个应用程序。

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