Big Data computing and clouds: Trends and future directions

被引：394

作者：

Assuncao, Marcos D. ^{[1
]}

Calheiros, Rodrigo N. ^{[2
]}

Bianchi, Silvia ^{[5
]}

Netto, Marco A. S. ^{[6
]}

Buyya, Rajkumar ^{[3
,4
]}

机构：

[1] ENS Lyon, LIP, INRIA, Lyon, France

[2] Univ Melbourne, Dept Comp & Informat Syst, Melbourne, Vic 3010, Australia

[3] Univ Melbourne, Comp Sci & Software Engn, Melbourne, Vic 3010, Australia

[4] Univ Melbourne, Cloud Comp & Distributed Syst CLOUDS Lab, Melbourne, Vic 3010, Australia

[5] IBM Res, Serv Syst Grp, Sao Paulo, Brazil

[6] IBM Res, Sao Paulo, Brazil

来源：

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING | 2015年 / 79-80卷

关键词：

Big Data; Cloud computing; Analytics; Data management; ANALYTICS; VISUALIZATION;

D O I：

10.1016/j.jpdc.2014.08.003

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four important areas of analytics and Big Data, namely (i) data management and supporting architectures; (ii) model development and scoring; (iii) visualisation and user interaction; and (iv) business models. Through a detailed survey, we identify possible gaps in technology and provide recommendations for the research community on future directions on Cloud-supported Big Data computing and analytics solutions. (C) 2014 Elsevier Inc. All rights reserved.

引用

页码：3 / 15

页数：13

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