WIP:数据架构的实时重构

W. Macey, Dali Wang, P. Thornton, A. Mockus
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引用次数: 0

摘要

在大规模地球系统模拟代码中,如加速气候模型(ACME),复杂的用户派生数据类型(包含大量变量)被设计用来表示大气、海洋、陆地、冰和生物圈的相互作用,以预测各种条件下的全球气候。以下是我们建议的方法,以便在acme项目进行积极开发时重组该项目中土地组件的数据架构。陆地子系统的数据架构师定义了新的数据类型需求,通过将50多个主要数据类型转换为仅8个主要数据类型,将大大简化陆地子模型的实现。由于代码是在社区治理下开发的,我们必须确保重构不与其他开发相连接,因为每天都有几十个变化发生,所以不可能在共享的开发分支上工作。活跃的发展也发生在近500个分支上,这使得评估潜在的相互作用变得极其困难。为了应对这些挑战,我们设计并启动了一个迭代过程,用于实现数据结构,并估计重构所需的工作量和实现重构后节省的工作量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WIP: Live Restructuring of Data Architecture
In large-scale Earth System simulation codes, such asthe Accelerated Climate Model for Energy (ACME), complex user derived data types (containing large numberof variables) are designed to represent the interactionsof atmosphere, ocean, land, ice, and biosphere toproject global climate under a wide variety of conditions. The following is our proposed approach to restructurethe data architecture of a land component within theACME project while the project is undergoing activedevelopment. The data architect for the land subsystemdefines the new datatype requirements that wouldgreatly simplify the implementation of terrestrial landsubmodels by converting more than 50 to just eight primarydata-types. Since the code is developed with thecommunity governance, we have to ensure that the restructuringdoes not interface the other developmentwhich, with dozens of changes occurring every day, makeit impossible to work on a shared development branch. The active development also occurs on almost five hundredbranches, making it extremely difficult to assesspotential interactions. To address these challenges we have designed andstarted an iterative procedure for implementing the datarestructuring and estimating both the effort it takes torestructure and the effort would save once the restructuringis implemented.
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