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Cloud computing and big data = 7th Conference, JCC&BD 2019, La Plata, Buenos Aires, Argentina, June 24-28, 2019 : revised selected papers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Cloud computing and big data/ edited by Marcelo Naiouf, Franco Chichizola, Enzo Rucci.
其他題名:	7th Conference, JCC&BD 2019, La Plata, Buenos Aires, Argentina, June 24-28, 2019 : revised selected papers /
其他題名:	JCC&BD 2019
其他作者:	Naiouf, Marcelo.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	x, 155 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Cloud computing - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-27713-0
ISBN:	9783030277130

Cloud computing and big data = 7th Conference, JCC&BD 2019, La Plata, Buenos Aires, Argentina, June 24-28, 2019 : revised selected papers /
Cloud computing and big data7th Conference, JCC&BD 2019, La Plata, Buenos Aires, Argentina, June 24-28, 2019 : revised selected papers /[electronic resource] :JCC&BD 2019edited by Marcelo Naiouf, Franco Chichizola, Enzo Rucci. - Cham :Springer International Publishing :2019. - x, 155 p. :ill., digital ;24 cm. - Communications in computer and information science,10501865-0929 ;. - Communications in computer and information science ;311..

Cloud Computing and HPC -- Big Data and Data Intelligence -- Mobile Computing.

This book constitutes the revised selected papers of the 7th International Conference on Cloud Computing and Big Data, JCC&BD 2019, held in La Plata, Buenos Aires, Argentina, in June 2019. The 12 full papers presented were carefully reviewed and selected from a total of 31 submissions. They are dealing with such topics as cloud computing and HPC; Big Data and data intelligence; mobile computing.

ISBN: 9783030277130

Standard No.: 10.1007/978-3-030-27713-0doiSubjects--Topical Terms:

787203
Cloud computing
--Congresses.

LC Class. No.: QA76.585 / C568 2019

Dewey Class. No.: 004.6782

Cloud computing and big data = 7th Conference, JCC&BD 2019, La Plata, Buenos Aires, Argentina, June 24-28, 2019 : revised selected papers /
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