基于粗粒度自调整计算的软件体系结构

Proceedings of the 1st ACM SIGPLAN International Workshop on Functional Software Architecture Pub Date : 2023-08-30 DOI:10.1145/3609025.3609481

Stefan Wehr

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引用次数: 0

摘要

确保软件应用程序向用户呈现最新版本的数据并非易事。自调整计算是一种在输入发生变化时自动有效地重新计算输出数据的技术。本文描述了一个大型商业软件系统的软件体系结构，该系统围绕Haskell中用于粗粒度自调整计算的框架构建。它根据长期的经验讨论了利弊。本文还展示了系统的演示，并解释了框架的API。

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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A Software Architecture Based on Coarse-Grained Self-Adjusting Computations

Ensuring that software applications present their users the most recent version of data is not trivial. Self-adjusting computations are a technique for automatically and efficiently recomputing output data whenever some input changes. This article describes the software architecture of a large, commercial software system built around a framework for coarse-grained self-adjusting computations in Haskell. It discusses advantages and disadvantages based on longtime experience. The article also presents a demo of the system and explains the API of the framework.

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Proceedings of the 1st ACM SIGPLAN International Workshop on Functional Software Architecture

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