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数据网格

"数据网格"的翻译和解释

例句与用法

  • Database grid is a data grid setting mainly about database resources , which focuses on key technologies of uniform storage , access and management database resources
    数据库网格是以数据库为主要存储资源的数据网格环境,它主要侧重于广域环境下数据库资源的统一存储、访问和管理。
  • Federated data service is one of the core services in data grid , which provides uniform data access service to wide - area , distributed and heterogeneous srorage resources
    联邦数据服务是数据网格的核心服务之一,它向数据网格的用户提供对广域分布的,异构存储资源的统一访问服务。
  • As the user navigates to various applications within the workflow context , the data grid portlet and other portlets dynamically change to reflect the user actions
    当用户在任务流上下文中的不同应用程序之间进行导航时,数据网格portlet和其他portlet可以动态变化,以反映用户的操作。
  • Based on which , we design and implement fdss , the core of griddaen data grid system , and drb , the basic data service provider of fdss
    在这些工作的基础上,设计和实现了griddaen数据网格系统的核心组成部分联邦数据服务系统fdss以及fdss的基本数据服务提供单元数据请求代理服务器drb 。
  • When it comes down to it , data grids like avaki s take the same approach used by computational grids , but apply that approach to different parts of the network , avaki executives said
    Avaki的主管说,归根结底, avaki这种数据网格使用的是与计算网格相同的方法,不过是将这种方法应用到网络中的不同部分。
  • This article mentioned the correlative concepts and pivotal technologies of the application of business intelligence based on data grid , and mainly discussed the architecture and process of it
    介绍了基于数据网格的商务智能应用的相关概念和关键技术,重点讨论了基于数据网格的商务智能的体系结构和基本过程。
  • Drawing , by definition , on widely varied hardware platforms and varied operating systems , data grids are yet another method for pooling together what would have once been an incompatible sprawl of computing nodes
    根据定义,数据网格使用相当多不同的硬件平台和操作系统,是可以将原本互不兼容的一大堆计算节点组织在一起的又一种方法。
  • For applications that are more disk intensive , or for a data grid , more emphasis can be placed on storage resources , such as those providing higher capacity , redundancy , or fault tolerance
    对于那些磁盘密集型的应用程序,或是数据网格而言,您可以将工作重点更多地放在存储资源上,比如您可以使用那些能够提供更高容量、冗余程度或容错机制的存储。
  • 更多例句:  1  2  3  4  5
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