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大数据背景下海洋数据管理的挑战与对策
引用本文:黄冬梅,赵丹枫,魏立斐,杜艳玲,王振华. 大数据背景下海洋数据管理的挑战与对策[J]. 计算机科学, 2016, 43(6): 17-23
作者姓名:黄冬梅  赵丹枫  魏立斐  杜艳玲  王振华
作者单位:上海海洋大学信息学院 上海201306,上海海洋大学信息学院 上海201306,上海海洋大学信息学院 上海201306,上海海洋大学信息学院 上海201306,上海海洋大学信息学院 上海201306
基金项目:本文受国家973项目(2012CB316200),国家自然科学基金项目(61272098),上海高校青年教师培养资助
摘    要:空天地底海洋立体观测技术的飞速发展催生了呈指数级增长的多精度、多频度、大覆盖、多模态的海洋数据。然而,目前的研究主要集中于通用大数据,针对海洋数据的专门研究仍处于起步阶段。海洋数据的时空性、多源多类性、海量性、敏感性等特性为其管理带来了新的挑战。阐述了海洋数据的特点和海洋数据管理的基本架构,探讨了海洋数据在数据存储、数据质量、数据安全等环节面临的挑战,分析了相应的对策,为海洋科学与工程技术的研究提供了重要的参考与依据。

关 键 词:海洋  大数据  数据存储  数据质量  数据安全
收稿时间:2015-04-26
修稿时间:2015-08-27

Managing Marine Data as Big Data:Uprising Challenges and Tentative Solutions
HUANG Dong-mei,ZHAO Dan-feng,WEI Li-fei,DU Yan-ling and WANG Zhen-hua. Managing Marine Data as Big Data:Uprising Challenges and Tentative Solutions[J]. Computer Science, 2016, 43(6): 17-23
Authors:HUANG Dong-mei  ZHAO Dan-feng  WEI Li-fei  DU Yan-ling  WANG Zhen-hua
Affiliation:College of Information Technology,Shanghai Ocean University,Shanghai 201306,China,College of Information Technology,Shanghai Ocean University,Shanghai 201306,China,College of Information Technology,Shanghai Ocean University,Shanghai 201306,China,College of Information Technology,Shanghai Ocean University,Shanghai 201306,China and College of Information Technology,Shanghai Ocean University,Shanghai 201306,China
Abstract:Big data have been continually drawing extensive interests in both academia and industry.Currently,the scale of marine data is increasing consecutively and exponentially with the rapid development of ocean observation technologies and data acquisition methodologies.Until recently,most of the solutions focus on the generic big data,while an extensive study over marine data is still left undiscussed,since the uniqueness of marine data brings new challenges for its management.As a result,this article first outlined the characteristics of marine data as well as the fundamental architecture of marine data management.Secondly,this paper also analyzed the problems of data storage,data quality and data security as well as the corresponding tentative solutions,which will provide significant evidence and references for the future study over ocean science and engineering technology.
Keywords:Marine  Big data  Data storage  Data quality  Data security
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