Big Data Challenges for e-Science Infrastructure
This paper discusses the challenges that are imposed by the 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. The paper also addresses issues with the federated access control to the SDI resources that provides a flexible access control and identity management model for scientific and research communities.
Big Data Science Scientific Data Infrastructure (SDI) Scientific Data Lifecycle Management (SDLM) Cloud Infrastructure Services
Yuri Demchenko Zhiming Zhao Paola Grosso Adianto Wibisono Cees de Laat
System and Network Engineering Group, University of AmsterdamScience Park 904, 1098XH Amsterdam, The System and Network Engineering Group, University of Amsterdam Science Park 904, 1098XH Amsterdam, Th
国际会议
南京
英文
1-10
2012-11-23（万方平台首次上网日期，不代表论文的发表时间）