Incremental stream processing using computational conflict-free replicated data types

David Navalho, S. Duarte, Nuno M. Preguiça, M. Shapiro
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引用次数: 11

Abstract

Information has become a key commodity for most service providers. Analyzing streams of data efficiently, in real time, has become increasingly more important for supporting new products and applications. This paper outlines a novel abstraction for performing incremental stream processing based on Computational Conflict-free Replicated Data Types. C-CRDTs are replicated objects that can be updated concurrently without coordination to perform a computation and still converge to a consistent state that reflects all contributions. Results obtained with a preliminary prototype show that C-CRDTs have the potential to match and improve computational throughput when compared with a state of the art stream processing system.
使用计算无冲突复制数据类型的增量流处理
信息已成为大多数服务提供商的关键商品。高效、实时地分析数据流对于支持新产品和应用程序变得越来越重要。本文概述了一种基于计算无冲突复制数据类型执行增量流处理的新抽象。c - crdt是可以并发更新的复制对象,无需协调执行计算,并且仍然收敛到反映所有贡献的一致状态。通过初步原型获得的结果表明,与最先进的流处理系统相比,c - crdt具有匹配和提高计算吞吐量的潜力。
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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