对欧洲开放科学云服务的调查,以扩大多学科科学应用的容量和能力

IF 13.3 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Computer Science Review Pub Date : 2023-08-01 DOI:10.1016/j.cosrev.2023.100571
Amanda Calatrava , Hernán Asorey , Jan Astalos , Alberto Azevedo , Francesco Benincasa , Ignacio Blanquer , Martin Bobak , Francisco Brasileiro , Laia Codó , Laura del Cano , Borja Esteban , Meritxell Ferret , Josef Handl , Tobias Kerzenmacher , Valentin Kozlov , Aleš Křenek , Ricardo Martins , Manuel Pavesio , Antonio Juan Rubio-Montero , Juan Sánchez-Ferrero
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引用次数: 0

摘要

开放科学是一种范式,在这种范式中,科学数据、程序、工具和结果被社会透明地共享和重复使用。欧洲开放科学云(EOSC)倡议是欧洲的一项努力,旨在提供一个开放、可信、虚拟和联合的计算环境,以执行科学应用程序,并跨国界和跨科学学科存储、共享和重用研究数据。此外,科学服务正变得越来越数据密集,不仅在计算密集型任务方面,而且在存储资源方面。为了满足这些资源需求,高性能计算(HPC)和云计算等计算范式被应用于电子科学应用。然而,使应用程序和服务适应这些范式是一项具有挑战性的任务,通常需要对底层技术有深入的了解,而这往往是科学家接受这些技术的普遍障碍。在这方面,EOSC Synergy是一个合作项目,涉及来自八个欧洲国家的20多个机构,汇集他们的知识和经验,以提高EOSC的能力和能力,旨在使EOSC更接近科学界。本文对EOSC Synergy的十个主题服务中为接受这一范式所做的调整进行了总结分析。这些服务分为四类:地球观测、环境、生物医学和天体物理学。无论服务的主题领域如何,分析都将有助于确定共性、最佳做法和共同要求。从专题服务中获得的经验可以转移到新的服务中,以采用EOSC生态系统框架。本文就EOSC生态系统中的主题服务集成提出了几点建议,涉及认证和授权(主要基于EduGAIN的联合区域或主题解决方案)、FAIR数据和元数据保存解决方案(包括编目和数据保存,如EUDAT的B2SHARE)、,与云平台无关的资源管理服务(如Infrastructure Manager)和工作负载管理解决方案。
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 survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications

Open Science is a paradigm in which scientific data, procedures, tools and results are shared transparently and reused by society. The European Open Science Cloud (EOSC) initiative is an effort in Europe to provide an open, trusted, virtual and federated computing environment to execute scientific applications and store, share and reuse research data across borders and scientific disciplines. Additionally, scientific services are becoming increasingly data-intensive, not only in terms of computationally intensive tasks but also in terms of storage resources. To meet those resource demands, computing paradigms such as High-Performance Computing (HPC) and Cloud Computing are applied to e-science applications. However, adapting applications and services to these paradigms is a challenging task, commonly requiring a deep knowledge of the underlying technologies, which often constitutes a general barrier to its uptake by scientists. In this context, EOSC-Synergy, a collaborative project involving more than 20 institutions from eight European countries pooling their knowledge and experience to enhance EOSC’s capabilities and capacities, aims to bring EOSC closer to the scientific communities. This article provides a summary analysis of the adaptations made in the ten thematic services of EOSC-Synergy to embrace this paradigm. These services are grouped into four categories: Earth Observation, Environment, Biomedicine, and Astrophysics. The analysis will lead to the identification of commonalities, best practices and common requirements, regardless of the thematic area of the service. Experience gained from the thematic services can be transferred to new services for the adoption of the EOSC ecosystem framework. The article made several recommendations for the integration of thematic services in the EOSC ecosystem regarding Authentication and Authorization (federated regional or thematic solutions based on EduGAIN mainly), FAIR data and metadata preservation solutions (both at cataloguing and data preservation—such as EUDAT’s B2SHARE), cloud platform-agnostic resource management services (such as Infrastructure Manager) and workload management solutions.

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来源期刊
Computer Science Review
Computer Science Review Computer Science-General Computer Science
CiteScore
32.70
自引率
0.00%
发文量
26
审稿时长
51 days
期刊介绍: Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.
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