A Hybrid Cloud Architecture for a Social Science Research Computing Data Center
A Hybrid Cloud Architecture for a Social Science Research Computing Data Center
复制标题
社会科学研究计算数据中心的混合云架构
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
L. Wisniewski
中科院分区：
文献类型：
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作者：
Steven Abramson;William Horka;L. Wisniewski
社会科学领域的研究计算需要使用统计软件和定量工具，这些工具可以在中等规模下执行令人尴尬的并行计算，可以容纳整个数据集的大内存，以及对潜在机密数据的安全存储。研究计算环境（RCE）被设计成一个三层系统，以透明的方式满足这些需求。我们扩展RCE以使用云资源，同时保持来自用户的资源的透明性。本文描述了这个用例，并强调了在为支持社会科学的研究计算环境设计和实现混合云架构时所做的重要资源管理和网络决策。
Research computing in the social sciences requires access to statistical software and quantitative tools that perform embarrassingly parallel computation at moderate scale, large memory to fit entire data sets, and secure storage for potentially confidential data. The Research Computing Environment (RCE) was designed as a three-tier system to satisfy these requirements in a transparent manner. We extend the RCE to use cloud resources while maintaining the transparency of the resources from the user. This paper describes this use case and highlights the significant resource management and networking decisions made when designing and implementing a hybrid cloud architecture for a research computing environment to support the social sciences.