大数据背景下海洋数据管理的挑战与对策  

Managing Marine Data as Big Data:Uprising Challenges and Tentative Solutions

作　　者：黄冬梅[1] 赵丹枫[1] 魏立斐[1] 杜艳玲[1] 王振华[1] 

机构地区：[1]上海海洋大学信息学院,上海201306

出　　处：《计算机科学》2016年第6期17-23,共7页Computer Science

基　　金：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计划(ZZHY14024)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。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 technolo- gies and data acquisition methodologies. Until recently,most of the solutions focus on the generic big data, while an ex- tensive 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.

关 键 词：海洋 大数据 数据存储 数据质量 数据安全 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]