Google Cloud Platform在天体物理学中的应用
Application of Google Cloud Platform in Astrophysics
摘要：
Google提供的新云平台的可用性促使我们提出了九个概念验证（Proof of Concepts，缩写为EAI），旨在展示和测试平台在科学驱动的任务和要求背景下的功能。我们通过展示我们在Google Cloud Platform上实施的9个成功关闭的云服务中的3个来回顾我们的计划的状态。特别是，我们说明了一个云架构，用于将科学软件部署为微服务，将Google Compute Engine与Docker和Pub/Sub耦合，以调度高度并行的模拟。我们还详细介绍了基于HPC的模拟和工作流执行的数据简化管道（TNG-GIANO-B光谱仪）部署在GCP上的实验。我们将我们的经验与现场设施进行比较和对比，比较总拥有成本和达到的性能方面的优势和劣势。
英文摘要：
The availability of new Cloud Platform offered by Google motivated us to propose nine Proof of Concepts (PoC) aiming to demonstrated and test the capabilities of the platform in the context of scientifically-driven tasks and requirements. We review the status of our initiative by illustrating 3 out of 9 successfully closed PoC that we implemented on Google Cloud Platform. In particular, we illustrate a cloud architecture for deployment of scientific software as microservice coupling Google Compute Engine with Docker and Pub/Sub to dispatch heavily parallel simulations. We detail also an experiment for HPC based simulation and workflow executions of data reduction pipelines (for the TNG-GIANO-B spectrograph) deployed on GCP. We compare and contrast our experience with on-site facilities comparing advantages and disadvantages both in terms of total cost of ownership and reached performances.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
