The Design of a Community Science Cloud: The Open Science Data Cloud Perspective

被引：11

作者：

Grossman, Robert L. ^{[1
]}

Greenway, Matthew ^{[1
]}

Heath, Allison P. ^{[1
]}

Powell, Ray ^{[1
]}

Suarez, Rafael D. ^{[1
]}

Wells, Walt ^{[1
]}

White, Kevin ^{[1
]}

Atkinson, Malcolm ^{[2
]}

Klampanos, Iraklis ^{[2
]}

Alvarez, Heidi L. ^{[3
]}

Harvey, Christine ^{[4
]}

Mambretti, Joe J. ^{[5
]}

机构：

[1] Univ Chicago, Chicago, IL 60637 USA

[2] Univ Edinburgh, Edinburgh EH8 9YL, Midlothian, Scotland

[3] Florida Int Univ, Miami, FL 33199 USA

[4] Richard Stockton Coll New Jersey, Galloway, NJ USA

[5] Northwestern Univ, Evanston, IL 60208 USA

来源：

2012 SC COMPANION: HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SCC) | 2012年

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

data intensive computing; cloud computing; science clouds; open data;

D O I：

10.1109/SC.Companion.2012.127

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we describe the design, and implementation of the Open Science Data Cloud, or OSDC. The goal of the OSDC is to provide petabyte-scale data cloud infrastructure and related services for scientists working with large quantities of data. Currently, the OSDC consists of more than 2000 cores and 2 PB of storage distributed across four data centers connected by 10G networks. We discuss some of the lessons learned during the past three years of operation and describe the software stacks used in the OSDC. We also describe some of the research projects in biology, the earth sciences, and social sciences enabled by the OSDC.

引用

页码：1051 / 1057

页数：7

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