Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering
Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering
复制标题
计算和数据支持的科学与工程的云范式和实践
DOI：
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发表时间：
2013
期刊：
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通讯作者：
Aditya Devarakonda
中科院分区：
文献类型：
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作者：
M. Parashar;Moustafa AbdelBaky;I. Rodero;Aditya Devarakonda
云正在迅速加入高性能计算（HPC）系统、集群和网格，成为科学探索和发现的可行平台。因此，了解在这种混合基础设施中有意义的应用程序公式和使用模式，以及应用程序工作流如何有效地利用它，是至关重要的。本文探讨了三种混合HPC/网格和云网络基础设施的使用模式：云中HPC、HPC加云和HPC即服务，介绍了每种情况下的说明性场景，并概述了优势、限制和研究挑战。
Clouds are rapidly joining high-performance computing (HPC) systems, clusters, and grids as viable platforms for scientific exploration and discovery. As a result, understanding application formulations and usage modes that are meaningful in such a hybrid infrastructure, and how application workflows can effectively utilize it, is critical. Here, three hybrid HPC/grid and cloud cyber infrastructure usage modes are explored: HPC in the Cloud, HPC plus Cloud, and HPC as a Service, presenting illustrative scenarios in each case and outlining benefits, limitations, and research challenges.