Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering

被引：43

作者：

Parashar, Manish ^{[1
,2
,3
]}

AbdelBaky, Moustafa ^{[1
]}

Roder, Ivan ^{[4
]}

Devarakonda, Aditya ^{[4
]}

机构：

[1] Rutgers State Univ, Elect & Comp Engn Dept, Piscataway, NJ 08855 USA

[2] Rutgers State Univ, Rutgers Discovery Informat Inst RDI2, Piscataway, NJ 08855 USA

[3] Rutgers State Univ, US Natl Sci Fdn NSF Cloud & Auton Comp Ctr, Piscataway, NJ 08855 USA

[4] Rutgers State Univ, Piscataway, NJ 08855 USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2013年 / 15卷 / 04期

基金：

美国国家科学基金会;

关键词：

cloud computing; cloud federation; ensemble applications; high-performance computing; HPC; hybrid infrastructure; infrastructure-as-a-service; scientific computing;

D O I：

10.1109/MCSE.2013.49

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Hybrid infrastructures that combine high-performance computing (HPC) resources with cloud infrastructures are emerging as attractive platforms for real-world science and engineering applications, and it's important to understand how these applications can effectively utilize such a hybrid infrastructure. In this article, three key 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.

引用

页码：10 / 18

页数：9

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