简单数据网格存储简单的 “键-值” 对。
第四章研究了在网格存储系统中底层网络构建上，多区域对等网络的数据分发机制。
Chapter Four studies the data distribution mechanism among multi-region Peer to Peer network which is the underlying of Grid Storage system.
动态缓存网格存储来自利用WebSphere 动态缓存 APIs或基于容器的缓存的应用程序的可缓存对象。
Dynamic cache grids store cacheable objects from applications that utilize the WebSphere dynamic cache APIs or container-based caching.
动态缓存型网格存储来自可利用WebSphere ApplicationServer动态缓存api或基于容器的缓存的应用程序的可缓存对象。
Dynamic cache grids store cacheable objects from applications that utilize the WebSphere application Server dynamic cache APIs or container-based caching.
在此，你要关注的是，验证应用程序是否正确运行，正确的数据是否在网格应用程序和基础存储之间进行移动。
Here your focus is verifying that the application does what it should and the right data is moving between the grid application and on-premise storage.
然而，对于简单网格，仍然需要数据库作为主存储。
For simple grids, however, a database is still required for primary storage.
这样做可行，是因为云存储中的队列是网格执行器和企业加载器/聚合器的通信机制。
This works because the queues in cloud storage are the communication mechanism between grid workers and the enterprise loader/aggregator.
GIG提高了对环境中需求的响应，用户可以根据需要从网格中的任何位置访问、共享、收集、处理、存储、传播和管理信息。
The GIG evolved in response to the need for an environment in which users can access, share, collect, process, store, disseminate, and manage information on demand from any location in the grid.
只要你使用一个通用的存储项目，你就能把网格执行放置到各种各样的地方。
As long as you use a common storage project, you can diversify where your grid workers reside.
数据网格是用于存储可缓存应用程序数据的容器。
Data grids are the containers used to store cacheable application data.
XC10设备可以存储多个数据网格。
GIG提高了对环境中需求的响应，用户可以从网格中的任何位置随需访问、共享、收集、处理、存储、传播和管理信息。
GIG evolved in response to the need for an environment in which users can access, share, collect, process, store, disseminate, and manage information on demand from any location in the grid.
就像城市地图按网格分成一些区一样，数据库管理器使用分区键来确定数据所存储在的位置(数据库分区)。
Just as a city map is organized into sections using a grid, the database manager USES a partitioning key to determine the location (the database partition) where the data is stored.
RESTAPI在HTTP请求中使用内容类型头部以便确定存储在网格中的数据的格式。
The REST APIs use the Content-type header in the HTTP request to determine the format of the data stored in the grid.
网格按行或按列排列，它反映硬盘存储数据的方式。
Cells are arranged in rows and columns, which mirrors the way a hard drive stores data.
在网格中存储250,000个相等的区块，当然比存储少量的200MB的数据项要更加均衡。
Storing 250,000 equally sized chunks in a grid is likely to result in a more even distribution than storing a few 200mb data elements.
这些代码会调用一个现有的EJB组件，此组件会返回AccessStock VO对象，我们将把此对象存储在数据网格组件所要求的会话范围内。
This code will call an existing EJB component that will return the AccessStockVO object, which we will store in the session scope where our data grid component expects.
TaskQueueName：在云存储中用于接收来自网格执行器结果的队列名称。
ResultsQueueName: the name of the queue in cloud storage used to receive results from grid workers.
使用EntityManager . persist方法将对象存储到网格中，与对JPA所做的处理一样。
You store objects into the grid using the EntityManager.persist method, much as you would with JPA.
Dojox模块包括制图、离线存储、网格和数据存储(下面将详述)等等。
Dojox modules include charting, offline storage, grid, and data store (described below), to name a few.
OracleCoherence 3.5现在通过外堆存储提供了对内存数据网格万亿级的支持。
Oracle Coherence 3.5 now provides tera-scale support to in-memory data grids through configurable off-heap storage.
网格数据来自于定制数据存储DojoItemFileWriteStore。
Data for the grid comes from the custom data store DojoItemFileWriteStore.
事实上，通过增加集群的数量(每个集群具有合理的成员数量)，您可以组建能够存储大量数据的WebSphereeXtremeScale网格。
In fact, by increasing the number of clusters (each with a reasonable number of members), you can form WebSphere eXtreme Scale grids to store massive amounts of data.
然而，数据网格通过提供调度、资源管理、存储保留、服务质量保证、监视和其他功能，从而优于Web服务。
However, a data grid goes beyond the Web service model by providing scheduling, resource management, storage reservations, quality-of-service assurance, monitoring, and other capabilities.
这些信息存储在样例的deployment.xml和objectgrid.xml文件中，您可以使用它们来启动您的网格JVMs。
This information is stored in the deployment.xml and objectgrid.xml files in the sample, and you can use them to start your grid JVMs.
它们利用了ExtJS数据存储的能力和库中一个用于将数据连接到其他UI组件(如网格)的通用对象。
They leverage the power of Ext JS data stores, a common object in the library used for linking data to other popular UI components, such as grids.
虽然网格中的存储计算非常适合数据密集型存储，但是存储一个字节大小的对象从经济上来说不合适。
While the storage computing in the grid is well suited for data-intensive storage, it is not economically suited for storing objects as small as 1 byte.
当我们初始化这个网格小部件(dojox . grid . DataGrid)时，数据存储和结构共同定义了网格。
When we instantiate the grid widget (dojox.grid.DataGrid), the store and structure come together to define the grid.
和Dojo中很多小部件一样，网格有其自己的数据模型，称为数据存储，可让网格访问。
Like many widgets in Dojo, a grid has its own data model, called a data store, which the grid can access.
您可以在同一网格中存储多种内容类型。
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