这确保工作条目取得他们需要的策略，并去除对同步服务策略缓存复杂模式的需要。
This ensures that work items get exactly the policy they require, while removing the need for complex schemes to synchronize service policy caches.
要避免这一点，请在完全安装的MobilePortal上完成以下步骤来禁用MCS策略缓存。
To avoid this, complete the following steps to disable the MCS policy cache on a full Mobile Portal installation.
编辑 /PortalServer/mcs/mcs-config.xml，将
Edit /PortalServer/mcs/mcs-config.xml and change all policy cache attributes to enabled="false" within the <policy-cache> element.
更好的方法是创建一个缓存策略，这样可以改善系统性能并最大限度降低重复数据请求对源系统造成的负面影响。
Instead, create a caching strategy to both improve system performance and minimize any negative impact on the performance of source systems caused by repeated requests for data.
作为提高应用程序性能的一种策略，缓存应当被明智谨慎地应用。
Caching as a strategy for improving application performance must be applied judiciously and with care.
如果能够容忍数据稍微有些陈旧，那么使用定时的到期机制将可以极大地简化缓存策略。
Using a timed expiration technique, you can dramatically simplify your caching strategy, if you can afford to have data that is slightly stale.
开发缓存策略和它们的后续实现。
Developing caching strategies and their subsequent implementations.
要获得尽可能好的性能，许多站点都需要采用一种有效的缓存策略。
To get the best possible performance, most sites will need an effective caching strategy.
它将使用一系列缓存策略规则以便确定每一个传入请求的可缓存性。
It will use a set of caching policy rules to determine the cacheability of each incoming request.
这通常是性能倒数第二的策略，因为它要求有缓存锁，缓存集群中使用重量级的“推”更新策略。
This is usually the second worst performing strategy due to its cache lock requirement and the heavy "push" update policy for clustered caches.
此外，请认真考虑您的缓存策略。
策略数据可以被复制或缓存，而且没有使用过期数据的风险。
Policy data can be replicated or cached without risk of using stale data.
这些规则是特定于应用程序的，但一般情况下，可在请求URI 中、请求正文中的特定XML内容或两者的组合中触发缓存策略规则。
The rules are application specific, but in general, caching policy rules can trigger on the request URI, specific XML contents within the request body, or a combination of both.
提要中的缓存条目使用了类似的策略。
FS代理进程在启动时获取所有相关的在线策略，并将其缓存到内存中。
The FS agent process retrieves all related online policies at start-up time and caches them in memory.
查看统计数据并不时测量它们可以很好地判定缓存策略的效率。
Watching your stats and measuring them over time will give you a very good indication of the effectiveness of your caching strategies.
您可以使用请求端缓存模式来实现写策略。
You can use the Requester Side Caching Pattern to implement the On Write policy.
此策略在EJB规范中称为缓存选项C。
This strategy is also referred to as caching Option C in the EJB specification.
模式应该能够帮助简化决策过程，并指导记录有关缓存和策略的决策。
The pattern should make it easy for you to make design decisions and to document the decisions made around the cache and policies.
其缓存的策略是声明性的，而且其配置是通过XML配置描述符来实现的。
The cache policy is specified declaratively and configuration is through XML deployment descriptors.
然后本文将介绍如何在MessageBroker消息流中使用这些节点，包括缓存策略和安全注意事项。
The article then shows you how to use these nodes within message Broker message flows, including caching strategy and security considerations.
BigMemory在内存存储策略上有别于传统的缓存解决方案。
BigMemory differs from traditional caching solutions in its memory storage strategy.
根据不同的缓存策略，它可能还需要注册阶段0协议来将日志消息存储到数据库中在事务完成之前。
Depending on caching strategy, it might also register for the phase zero protocol to flush log messages upon transaction completion.
最后，我们在一个书签示例Portlet中使用了这两种缓存策略。
Finally, we use both caching strategies in a bookmark sample portlet.
通过停用vista的缩略图缓存策略，加快在vista中浏览图片和影片的速度。
Speed up browsing of pictures and videos in Windows Vista by disabling the Vista thumbnails cache.
本文从一个含有Web服务输出的样例sca应用程序开始，讨论如何定义一组缓存策略以及如何在Web服务应用程序中使用它。
This article starts from a sample SCA application with web service export, talks how to define a set of cache policies and how to use it with the web service application.
可在Portlet部署描述符中配置Portlet缓存策略。
You configure portlet caching policies in the portlet deployment descriptor.
设计可应用于您的SaaS应用程序的缓存规则和策略。
Design caching rules and policies that can be applied to your SaaS applications.
缓存规范和无效策略通过cachespec .xml文件提供。
Cache specification and invalidation policies are provided through the cachespec.xml file.
第二个任务是设计可应用于您的SaaS应用程序的缓存规则和策略。
The second task has to do with designing the caching rules and policies that can be applied to your SaaS applications.
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