全球智库信息集成服务系统(G2TT): Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system

G2TT

来源类型	Publication Article
规范类型	其他
DOI	10.1109/BigData.2016.7840941
	Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system
	Fiore S.; Plóciennik M.; Doutriaux C. M.; Palazzo C.; Boutte J.; Zok T.; Elia D.; Owsiak M.; D'Anca A.; Shaheen Z.; Bruno R.; Fargetta M.; Caballer M.; Moltó G.; Blanquer I.; Barbera R.; David M.; Donvito G.; Williams D. N.; Anantharaj V.; Salomoni D.; Aloisio G.
发表日期	2016
出处	2016 IEEE International Conference on Big Data (Big Data), DOI: 10.1109/BigData.2016.7840941,
出版年	2016
语种	英语
URL	http://ieeexplore.ieee.org/document/7840941/?reload=true
来源智库	Centro Euro-Mediterraneo sui Cambiamenti Climatici (Italy)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/201166
推荐引用方式 GB/T 7714	Fiore S.,Plóciennik M.,Doutriaux C. M.,et al. Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system. 2016.