反应性信息处理

F. Barbier
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引用次数: 0

摘要

人们一致认为,互联网计算有两大关注点:大数据和物联网(IoT)。有意地,技术和科学的预期进化和进步是由合适范例的发展所主导的(例如,物联网的即插即用中间件或大数据的MapReduce),以面对这种“曾经遇到过的”互联网计算的本质。在这种程度上,信息处理(从原始数据到有意义的——即,语义丰富的信息)包含了以一种真正不同的方式构建一个相当大的互联网软件池的必要性。“反应宣言”(www.reactivemanifesto.org)揭示了这种范式转变。从体系结构的角度来看,该宣言促进了软件应用程序的组件化以及反应性的思想:事件驱动/消息驱动、弹性、响应性和弹性。简而言之,应用程序的组件通过与事件/消息无缝协作的能力而具有新兴(响应式)特性。如今,Node.js或WebSockets等成功案例有力地证实了反应性的好处。此外,本主题还试图通过状态图XML W3标准揭开“反应性”的神秘面纱。主题讨论了设计响应式互联网软件的方法,从模型到具体的实现支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reactive information processing
People agree that there are two major concerns in Internet computing: Big Data and the Internet of Things (IoT). On purpose, expected evolutions and progresses in technology and science are ruled by the development of suited paradigms (e.g., plug & play middleware for the IoT or MapReduce for Big Data) to face up this “ever encountered” nature of Internet computing. To that extent, information processing (from raw data to meaningful - i.e., semantically rich-information) encompasses the necessity of building a considerable pool of Internet software in a truly different way. Such a paradigm shift is exposed in “The Reactive Manifesto” (www.reactivemanifesto.org). From an architectural perspective, this manifesto promotes software applications' componentization along with the idea of reactiveness: event-driven/message-driven, elasticity, responsiveness and resilience. In short, applications' components have emerging (reactive) features through their ability to seamlessly cooperate with events/messages. Nowadays, successes like Node.js or WebSockets strongly confirm the benefit of reactiveness. Beyond, this keynote tries to demystify and illustrate “reactiveness” through the State Chart XML W3 standard. The keynote discusses methods to design reactive Internet software from models to concrete implementation supports.
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