Vision: information-centric dataflow: re-imagining reactive distributed computing

D. Kutscher, Laura Al Wardani, T. M. R. Gias
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引用次数: 3

Abstract

This paper describes an Information-Centric Dataflow system that is based on name-based access to computation results, NDN PSync dataset synchronization for enabling consuming compute functions to learn about updates and for coordinating the set of compute functions in a distributed Dataflow pipeline. We describe how relevant Dataflow concepts can be mapped to ICN and how data-sharing, data availability and scalability can be improved compared to state-of-the-art systems. We also provide a specification of an application-independent namespace design and report on our experience with a first prototype implementation.
愿景:以信息为中心的数据流:重新想象响应式分布式计算
本文描述了一个以信息为中心的数据流系统,该系统基于基于名称的计算结果访问,NDN PSync数据集同步,使消费计算函数能够了解更新,并在分布式数据流管道中协调计算函数集。我们描述了如何将相关的数据流概念映射到ICN,以及与最先进的系统相比,如何改进数据共享、数据可用性和可扩展性。我们还提供了一个独立于应用程序的名称空间设计规范,并报告了我们使用第一个原型实现的经验。
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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