Editorial for FGCS special issue: Big Data in the cloud

被引:7
作者
Chang, Victor [1 ]
Ramachandran, Muthu [2 ]
Wills, Gary [3 ]
Walters, Robert John [3 ]
Li, Chung-Sheng [4 ]
Watters, Paul [5 ]
机构
[1] Xian Jiaotong Liverpool Univ, Suzhou, Peoples R China
[2] Leeds Beckett Univ, Leeds, W Yorkshire, England
[3] Univ Southampton, Southampton SO9 5NH, Hants, England
[4] IBM Corp, Armonk, NY USA
[5] Massey Univ, Palmerston North, New Zealand
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2016年 / 65卷
关键词
Big Data; Big Data for Cloud; 5Vs in Big Data; Big Data and Cloud services; Emerging issues; Challenges and recommendations for Big Data;
D O I
10.1016/j.future.2016.04.007
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Research associated with Big Data in the Cloud will be important topic over the next few years. The topic includes work on demonstrating architectures, applications, services, experiments and simulations in the Cloud to support the cases related to adoption of Big Data. A common approach to Big Data in the Cloud to allow better access, performance and efficiency when analysing and understanding the data is to deliver Everything as a Service. Organisations adopting Big Data this way find the boundaries between private clouds, public clouds and Internet of Things (IoT) can be very thin. Volume, variety, velocity, veracity and value are the major factors in Big Data systems but there are other challenges to be resolved. The papers of this special issue address a variety of issues and concerns in Big Data, including: searching and processing Big Data, implementing and modelling event and workflow systems, visualisation modelling and simulation and aspects of social media. (C) 2016 Published by Elsevier B.V.
引用
收藏
页码:73 / 75
页数:3
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