论文标题
Astrods - 用于宇宙射线天体物理学的分布式存储。当前状态
AstroDS -- A Distributed Storage for Astrophysics of Cosmic Rays. Current Status
论文作者
论文摘要
当前，Astroparticle物理学中科学数据的处理基于各种分布式技术，其中最常见的是网格和云计算。最常讨论的方法集中在大型甚至非常大的科学实验上，例如Cherenkov望远镜阵列。相比之下，我们提供了一种针对中小型实验（例如Taiga）设计的解决方案。在这样的实验中，通常使用历史上开发的特定数据处理方法和专业软件。我们专门为中型实验设计了一个分布式（云）数据存储，用于Astroparticle物理数据协作。在本文中，我们使用Taiga和Cascade实验的示例讨论了工作的当前状态。我们方法的一个功能是，我们为用户提供了以他们在本地资源的日常工作中习惯的形式的科学数据。
Currently, the processing of scientific data in astroparticle physics is based on various distributed technologies, the most common of which are Grid and cloud computing. The most frequently discussed approaches are focused on large and even very large scientific experiments, such as Cherenkov Telescope Array. We, by contrast, offer a solution designed for small to medium experiments such as TAIGA. In such experiments, as a rule, historically developed specific data processing methods and specialized software are used. We have specifically designed a distributed (cloud) data storage for astroparticle physics data collaboration in medium-sized experiments. In this article, we discuss the current state of our work using the example of the TAIGA and CASCADE experiments. A feature of our approach is that we provide our users with scientific data in the form to which they are accustomed to in everyday work on local resources.
