这需要增加用户、数据请求和资源。
用户或数据请求争夺相同的资源实例。
Users or data requests competing for the same resource instances.
第一个好处是处理缓存中的数据请求。
The first benefit is to the process requesting the data in the cache.
一个数据请求可能包含如下组成部分。
负载均衡用于分发实例资源和数据请求。
Load balancing is used to distribute instance resources and data requests.
提供商设置用户、资源和数据请求阈值水平。
The provider sets the user, resource and data requests threshold levels.
应当注意，并非所有的数据请求都会被缓存。
It should be noted that not all data requests will be cached.
确保建立实例资源、用户和数据请求阈值策略。
Ensuring instance resource, user, and data request threshold policies are in place.
约束元数据请求api。
临界值策略类型主要有3种—资源、用户和数据请求。
Considered three threshold policy types - resource, user, and data requests.
在工作负载需求激增时，用户可以处理的数据请求数量。
Data requests the user can handle during a surge in workload demands.
如何对每个云服务应用用户、资源和数据请求阈值策略。
How the user, resource, and data requests threshold policies are applied to each cloud service type.
接收到定义响应数据后，浏览器向服务器发送数据请求。
After receiving the definition response data, the browser sends the data request to the server.
这减少了用户和需要处理工作负载需求的数据请求的数量。
This reduced the number of users and data requests required to handle the workload demands.
用户使用可用资源实例是，可同时发送并接受的数据请求。
Data requests that users can send and receive concurrently using the available resource instances.
源接收到项目数据请求，并准备要传输到目标的实际数据。
The source takes the item data request and prepares the actual data to be transferred to the destination.
支持数据缓存以减少访问数量，从而处理大量的数据请求。
Enable data caching to reduce the number of accesses in order to handle large volumes of data requests.
数据请求的数量和大小取决于云服务类型用户许可中的规范。
The number and size of data requests depend on the specifications in a user license for a cloud service type.
如果没有数据请求阈值策略，就无法知道数据请求队列的大小。
Without a data request threshold policy, you do not know the size of the queue of data requests.
数据请求临界值策略保证应用程序的数据请求能够得到即时处理。
Data request threshold policy ensures data requests to the application can be processed immediately.
通常，当前页面上的数据请求是基于前一个页面中的响应数据的。
Often, the data request on the current page is based on the response data from previous pages.
人与数据库交互：他们引导数据流的走向；他们解释并处理数据请求。
People interact with databases: they direct data flows; they interpret and service data requests.
在Ajax出现之前，对于所有数据请求，用户都要等待服务器响应。
Before Ajax, all data requests implied standing by, waiting for the server to answer.
如果数据请求容量整体较高，复制或分布数据可以潜在地降低容量争用。
If the request volume for the data is high overall, replicating or distributing the data potentially reduces contention.
RSVP通过QFS打开一个会话并发送一个元数据请求(2)。
RSVP opens a session with QFS and sends a metadata request (2).
这个临界值应该小于最大数据请求数和用户能够同时发送的最大数据请求大小。
The threshold level is set below the maximum number of data requests and the maximum size of data requests that users can send concurrently.
用户数量和数据请求数量也低于之前在用户和数据请求阀值策略中设置的阈值水平。
Number of users and data requests were also below the threshold level as set forth in the user and data requests threshold policies.
数据请求阀值策略，以确保用户并发向应用程序发送的数据请求，可以被立即处理。
Data request threshold policy to ensure data requests to the applications sent by users concurrently can be processed immediately.
在大部分情况下，要使得性能实现最大化，应该使首选源成为最有可能的数据请求源。
In most situations, to maximize performance it makes sense to make the preferred source the most likely source of requested data.
Bean验证规范通过元数据请求API暴露一些约束的基本元数据信息。
The Bean Validation specification exposes some of the constraints' basic metadata information through a metadata request API.
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