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

共 50 条

[31] Business Intelligence and Big Data in the Cloud: Opportunities for Design-Science Researchers
Sangupamba, Odette Mwilu
Prat, Nicolas
Comyn-Wattiau, Isabelle
ADVANCES IN CONCEPTUAL MODELING, 2014, 8823 : 75 - 84
[32] Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing
Mendez, Kevin M.
Pritchard, Leighton
Reinke, Stacey N.
Broadhurst, David I.
METABOLOMICS, 2019, 15 (10)
[33] Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing
Kevin M. Mendez
Leighton Pritchard
Stacey N. Reinke
David I. Broadhurst
Metabolomics, 2019, 15
[34] A cloud platform for space science mission concurrent design
Deng, Li
Yang, Zhen
Du, Pengyu
Song, You
CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS, 2018, 26 (01): : 104 - 116
[35] IMPROVING CLOUD INTEGRATION USING DESIGN SCIENCE RESEARCH
Muntean, Mihaela
Brandas, Claudiu
Cristescu, Marian Pompiliu
Matiu, Diana
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2021, 55 (01): : 201 - 218
[36] Klaus Daughtermann is elected to the Board of the European Open Science Cloud
Siegfried, Doreen
ZEITSCHRIFT FUR BIBLIOTHEKSWESEN UND BIBLIOGRAPHIE, 2021, 68 (02): : 113 - 113
[37] Astrophysics Visual Analytics services on the European Open Science Cloud
Sciacca, Eva
Vitello, Fabio
Riggi, Simone
Becciani, Ugo
Bordiu, Cristobal
Bufano, Filomena
Butora, Robert
Costa, Alessandro
Molinari, Sergio
Molinaro, Marco
Pino, Carmelo
Schisano, Eugenio
SOFTWARE AND CYBERINFRASTRUCTURE FOR ASTRONOMY VI, 2020, 11452
[38] The Virtual Observatory Ecosystem Facing the European Open Science Cloud
Molinaro, Marco
Allen, Mark
Genova, Francoise
Schaaff, Andre
Neves, Margarida Castro
Demleitner, Markus
Bertocco, Sara
Morris, Dave
Bonnarel, Francois
Voutsinas, Stelios
Boisson, Catherine
Taffoni, Giuliano
OBSERVATORY OPERATIONS: STRATEGIES, PROCESSES, AND SYSTEMS VIII, 2020, 11449
[39] Geoscience Cyberinfrastructure in the Cloud: Data-Proximate Computing to Address Big Data and Open Science Challenges
Ramamurthy, Mohan
2017 IEEE 13TH INTERNATIONAL CONFERENCE ON E-SCIENCE (E-SCIENCE), 2017, : 444 - 445
[40] Big data cloud and the frontier of computer science and technology
Li, Keqiu
Wu, Hongyi
Li, Zhiyang
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2015, 27 (18): : 5719 - 5721

← 1 2 3 4 5 →