智能策略驱动的数据管理和数据联合

P. Fuhrmann, M. Antonacci, G. Donvito, O. Keeble, P. Millar
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引用次数: 0

摘要

新创建的H2020项目eXtreme DataCloud项目的核心活动将是为数据密集型科学(如高能物理、天文学、光子和生命科学)提供政策驱动的联邦数据管理编排。该领域的知名专家将结合已经建立的数据管理和编排工具,提供一个高度可扩展的解决方案,支持整个欧洲科学景观。这项工作将涵盖“数据生命周期管理”以及元数据上的智能数据放置,包括存储可用性、网络带宽和数据访问模式。将建立基于数据摄取和数据移动的机制来触发计算资源。本文介绍了这一努力的第一个体系结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Policy Driven Data Management and Data Federations
The core activity within the newly created H2020 project eXtreme DataCloud project will be the policy-driven orchestration of federated data management for data intensive sciences like High Energy Physics, Astronomy, Photon and Life Science. Well-known experts in this field will work on combining already established data management and orchestration tools to provide a highly scalable solution supporting the entire European Scientific Landscape. The work will cover "Data Life Cycle Management" as well as smart data placement on meta data, including storage availability, network bandwidth and data access patterns. Mechanisms will be put in place to trigger computational resources based on data ingestion and data movements. This paper presents the first architecture of this endeavor.
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