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Received:September 01, 2014 Revised:October 16, 2014
Received:September 01, 2014 Revised:October 16, 2014
中文摘要: 按照大数据定义, 油气勘探数据处理工作显然是一种大数据应用模式, 而作为油气勘探核心工作平台的勘探云计算中心, 其建设目的首先是为了满足企业内部业务数据处理工作需求, 在确保计算力分享和协同工作的基础上, 勘探云更注重数据存储、数据管理以及数据应用业务的支持, 对照一般公用云建设模式, 勘探私有云建设具备其独特的建设模式. 笔者企业结合自身特点, 对照当前大数据应用需求开展勘探私有云建设工作, 取得了一定的效果, 对企业主营业务的支持效果明显.
Abstract:According to big data definition, the data processing of exploration of oil and gas is obviously a big data application mode. Computing center is designed to meet data processing needs of the company as the main exploration platform of oil and gas exploration cloud. Under the primise of ensuring the sharing computing power and Collaborative work,exploration cloud focus on support of data storage, data management and data applications. Compared with the general public cloud, the Construction of private exploration cloud has its unique mode. The author company combined with own company characteristics and current big data application needs to construct large data private cloud, and it achieved certain results. The support for the main business is obviously effect.
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林茂,塔依尔∙伊布拉音,许涛,宋雪峰,姜元刚.大数据时代勘探云建设模式探索.计算机系统应用,2015,24(5):26-31
LIN Mao,Tayir IBRAHIM,XU Tao,SONG Xue-Feng,JIANG Yuan-Gang.Construction Model of Cloud Center for Oil-Gas Exploration in Big-Data Era.COMPUTER SYSTEMS APPLICATIONS,2015,24(5):26-31
林茂,塔依尔∙伊布拉音,许涛,宋雪峰,姜元刚.大数据时代勘探云建设模式探索.计算机系统应用,2015,24(5):26-31
LIN Mao,Tayir IBRAHIM,XU Tao,SONG Xue-Feng,JIANG Yuan-Gang.Construction Model of Cloud Center for Oil-Gas Exploration in Big-Data Era.COMPUTER SYSTEMS APPLICATIONS,2015,24(5):26-31
