DocumentCode
1683572
Title
MatDC: Data Cloud Model For Management and Sharing of Material Science Data
Author
Changjun Hu ; Chunping Ouyang ; Zhenyu Liu
Author_Institution
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2009
Firstpage
225
Lastpage
231
Abstract
Cloud computing allows to access large amounts of scientific data and scientific computational resources efficiently through a variety of service interfaces. This paper presents a data cloud model called MatDC, which is designed for material scientists to conveniently integrate and analyze material science data. MatDC is a domain scientific data platform with the cloud computing. It not only provides an easy interface for user to access large amounts distributed resources through web browser, but also creates a flexible mechanism for cloud provider to deploy and replace the data-intensive application. In addition, highly modularity is the characteristic of MatDC, well-defined service API with module improves reusing and sharing service components. We describe the architecture of MatDC and illustrate the core data cloud services in detail. Finally, an experiment is prepared to show how MatDC is used to support material scientific activity.
Keywords
Internet; application program interfaces; data analysis; materials science computing; online front-ends; API; MatDC; cloud computing; data cloud model; data-intensive application; distributed resources; material science data management; material science data sharing; modularity; scientific computational resources; scientific data; service component reusing; service component sharing; web browser; Cloud computing; Computer interfaces; Data analysis; Data engineering; Distributed computing; Failure analysis; Grid computing; Materials science and technology; Power engineering computing; Resource management; MatDC; cloud computing; data cloud service; material science data;
fLanguage
English
Publisher
ieee
Conference_Titel
Grid and Cooperative Computing, 2009. GCC '09. Eighth International Conference on
Conference_Location
Lanzhou, Gansu
Print_ISBN
978-0-7695-3766-5
Type
conf
DOI
10.1109/GCC.2009.31
Filename
5279613
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