降低天文数据网络能耗，推动开放科学与绿色计算
Open Science and Artificial Intelligence for supporting the sustainability of the SRC Network: The espSRC case
- 通过绿色技术优化西班牙区域中心的能源消耗
- 支撑每年700PB数据处理的可持续性基础设施建设
- 构建可信存储库以实现科研可复现，适合关注开放科学的研究者
平方公里阵列天文台（SKAO）是射电天文学领域的里程碑项目，旨在解决天体物理学中的基本问题。为处理其高达每年700PB的数据输出，全球将建立平方公里阵列区域中心网络（SR-CNet），提供科学分析所需的基础设施、工具和算力。西班牙区域中心（espSRC）致力于保障该网络的可持续性，通过减少环境影响、在数据平台中集成绿色实践，并开发开放科学技术以支持可复现研究。本文总结了团队在降低espSRC及SRCNet能耗方面的部分研发工作，同时探讨了支持开放科学实践的可信存储库基础研究。
原文摘要 · Abstract (English)
The SKA Observatory (SKAO), a landmark project in radio astronomy, seeks to address fundamental questions in astronomy. To process its immense data output, approximately 700 PB/year, a global network of SKA Regional Centres (SR-CNet) will provide the infrastructure, tools, computational power needed for scientific analysis and scientific support. The Spanish SRC (espSRC) focuses on ensuring the sustainability of this network by reducing its environmental impact, integrating green practices into data platforms, and developing Open Science technologies to enable reproducible research. This paper discusses and summarizes part of the research and development activities that the team is conducting to reduce the SRC energy consumption at the espSRC and SRCNet. The paper also discusses fundamental research on trusted repositories to support Open Science practices.
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