Building a Medical Research Cloud in the EASI-CLOUDS Project

Jie Wu, K. Narayanan, Lars Nagel, Christoph Fiehe, Anna F. Litvina, Jakob Tonn, C. Zoth, Hans-Joachim Goltz, Steffen Unger, F. Pursche, Michael Scheel, A. Brinkmann, W. Thronicke
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引用次数: 8

Abstract

The demand for IT resources is constantly growing in the scientific area. The ability to store and process increasing amounts of data has transformed many research disciplines, like the life-sciences, which now rely on complex data processing and data analytics. Cloud environments are able to integrate and encapsulate possibly distributed resources and allow convenient and on-demand access to the corresponding services, tools, and complete work environments. The European research project EASI-CLOUDS (http://www. easi-clouds.eu) develops a platform for a convenient service delivery with special regard to service integration, monitoring, management, and Service Level Agreement (SLA) negotiation and with the option to federate cloud resources between multiple installations. In order to demonstrate the capabilities a use-case for a medical service cloud has been developed in close partnership with the Charité university hospital which has a high demand on computing resources for the research in MRI related diagnostics of brain diseases. This use-case serves as the basis for the development of clouds for medical research in particular.
在EASI-CLOUDS项目中构建医学研究云
科学领域对信息技术资源的需求不断增长。存储和处理越来越多数据的能力已经改变了许多研究学科,比如生命科学,这些学科现在依赖于复杂的数据处理和数据分析。云环境能够集成和封装可能分布的资源,并允许方便地按需访问相应的服务、工具和完整的工作环境。欧洲研究项目EASI-CLOUDS (http://www)。eu)为方便的服务交付开发了一个平台,特别关注服务集成、监视、管理和服务水平协议(SLA)协商,并提供在多个安装之间联合云资源的选项。为了展示这些能力,我们与慈善大学医院密切合作开发了医疗服务云用例,该医院对计算资源有很高的需求,用于研究与MRI相关的脑部疾病诊断。这个用例是开发用于医学研究的云的基础。
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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