Compositional structures for streaming applications

K. Chandy, J. Bunn
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Abstract

This paper describes an ongoing project to develop a Python software package, IoTPy, that helps beginning programmers build modular applications that process streams of data collected from sensors, social media and other sources, and to reason about the correctness of their applications in a compositional fashion. IoTPy helps build streaming applications in four ways: (1) enables the construction of non-terminating applications that continuously process endless streams of data by encapsulating terminating programs; (2) supports computation throughout a network of nodes from sensors at the edges of the network to the cloud and back to actuators at the edge; (3) allows users to separate concerns of the logic of an application from the parallel hardware on which the application runs, and (4) supports proofs and testing of the correct behavior of a composition from the specifications of its components.
流应用程序的组合结构
本文描述了一个正在进行的开发Python软件包IoTPy的项目,它可以帮助初级程序员构建模块化应用程序,处理从传感器、社交媒体和其他来源收集的数据流,并以组合方式推断其应用程序的正确性。IoTPy通过四种方式帮助构建流应用程序:(1)通过封装终止程序来构建非终止应用程序,该应用程序可以连续处理无穷无尽的数据流;(2)支持整个节点网络的计算,从网络边缘的传感器到云,再返回到边缘的执行器;(3)允许用户将应用程序的逻辑关注点从应用程序运行的并行硬件中分离出来;(4)支持从组件的规范中对组合的正确行为进行证明和测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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