Addressing Big Data Challenges for Scientific Data Infrastructure

被引：0
|
作者：
Demchenko, Yuri [1 ]
Zhao, Zhiming [1 ]
Grosso, Paola [1 ]
Wibisono, Adianto [1 ]
de Laat, Cees [1 ]
机构：
[1] Univ Amsterdam, Syst & Network Engn Grp, Amsterdam, Netherlands
来源：
2012 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM) | 2012年
关键词：
Big Data Science; Scientific Data Infrastructure (SDI); Scientific Data Lifecycle Management (SDLM); Cloud Infrastructure Services;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper discusses the challenges that are imposed by Big Data Science on the modern and future Scientific Data Infrastructure (SDI). The paper refers to different scientific communities to define requirements on data management, access control and security. The paper introduces the Scientific Data Lifecycle Management (SDLM) model that includes all the major stages and reflects specifics in data management in modern e-Science. The paper proposes the SDI generic architecture model that provides a basis for building interoperable data or project centric SDI using modern technologies and best practices. The paper explains how, the proposed models SDLM and SDI can be naturally implemented using modern cloud based infrastructure services provisioning model.
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页数：4
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