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.
翻译:目前,对热带粒子物理学科学数据的处理以各种分布式技术为基础,其中最常见的是网格和云计算,最经常讨论的方法侧重于大型甚至非常大型的科学实验,例如Cherenkov望远镜阵列,而我们则为小型到中型实验,例如TAIGA提供了一种解决办法,在这种实验中,通常使用历来开发的具体数据处理方法和专门软件,我们专门设计了一个分布式(广型)数据储存,用于在中等规模实验中进行热带粒子物理学数据合作,在本篇文章中,我们以TAIGA和CASADE实验为例,讨论我们目前的工作状况,我们的方法的一个特点是,我们向我们的用户提供当地资源日常工作中习惯的科学数据。