If the memory cache is used only for performance reasons, then storing data in memory cache might not be such a big problem.
如果只是由于性能方面的原因而使用内存缓存，则在内存缓存中存储数据可能不会是个大问题。
If you were to improve performance here, you could cache the string instead of re-creating it for every item in the inventory.
如果您要提高这里的性能，可以缓存该字符串，而不是为库存中的每个项目重新创建它。
This improves the performance characteristics of the system memory cache, and, in turn, the application itself.
这有助于改进系统内存缓存的性能特征，从而提高应用程序本身的性能。
As an additional performance improvement, the cache does conflation on these dirty records.
作为额外的性能改善，缓存会合并这些脏记录。
Using this function can generally result in better performance by minimizing cache misses and stalls.
使用这个函数通常可以减少缓存缺失和停顿，从而提高性能。
Thus, performance is best if the cache size is set to the maximum number of active instances expected during a typical workload.
因此，在典型的工作负载过程中，如果将缓存大小设置为预期的最大活动实例数，则性能是最佳的。
Storage server cache Settings can impact GPFS performance if they are not set correctly.
存储服务器缓存设置如果设置错误，可能会影响GPFS性能。
Without a populated cache to boost the site performance, end users who are sent to the newly started portion of the site might experience response time degradation.
如果没有一个填满的缓存来提高站点性能，发送终端用户到站点最新启动部分的响应时间降低。
Caching: The reverse proxy server can cache static content to provide better performance.
缓存：反向代理服务器可以缓存静态内容以提供更好的性能。
Further, applications that might benefit from having a file system read ahead or high buffer cache hit rates might actually see performance degradation.
而且，对于那些受益于文件系统预读功能或者较高缓冲区缓存命中率的应用程序，可能会出现性能的降低。
This can also improve performance by reducing L3 cache and memory contention.
这样做还可以通过减少L3缓存和内存争用，从而改善了性能。
A cache that expires too often can result in unnecessary performance degradation; therefore cache lifetime values are also important to tune.
太频繁过期的缓存会导致不必要的性能下降；因此，优化缓存生存期值也是非常重要的。
If your page needs the same (constant) information that it got earlier, you can enhance performance by setting up a local cache, as shown in Listing 3.
如果页面需要以前得到过的(不变的)信息，那么可以通过设置本地缓存来提高性能，见清单3。
For example, the architect could create a reusable in-memory cache, to be used in the application when performance needs dictate the need for something like a simple cache.
例如，设计师可以创建一个可重复利用的缓存，当性能需要一个如简单缓存一类的东西时就可以在应用程序中使用。
It's not hard to see why synchronization can have a significant effect on program performance; flushing the cache frequently can be expensive.
不难看出为什么同步会对程序的性能影响这么大；频繁地刷新缓存代价会很大。
Using the cache as a performance enhancement has some drawbacks.
利用缓存提高性能有几个缺点。
Providing an interim cache that can cache the most-used data can improve performance.
提供能缓存最常用数据的临时缓存可以改进性能。
Some nodes were used as inline cache to improve VM performance. This change ignore such inline cache objects to mark on GC.
有些节点被当做内联缓存用来改善VM性能，这使得垃圾收集器要进行修改，忽略掉这部分内联缓存对象。
For more information, see Using the command cache to improve portal application performance.
查阅更多的信息，请参阅使用命令行缓存来改进门户应用程序的性能。
One of the ways that you can fine tune performance is to adjust the level of cache scrubbing.
更好地调优性能的一个方法是，调整缓存清除的级别。
I'll also spend more time on the meaning of these values when I discuss cache performance later in the article.
稍后在讨论缓存性能时，我还将详细解释这些值的含义。
Performance can regress for simple portlets because cache key calculation becomes more expensive than recalculating the portlet response again.
对于简单Portlet，由于缓存键计算比重新计算Portlet响应开销更大，其性能可能会降低。
The performance of the cache refresh improves because of several factors.
由于以下因素，缓存刷新的性能得到改善。
An in-memory cache, allowing for performance improvements by avoiding reading databases for routing and validation.
使用内存缓存，通过避免阅读数据库来进行路由和验证提高了性能。
Linux attempts to execute a thread on the same processor for cache performance reasons.
出于缓存性能的原因，Linux尝试在同一个处理程序中执行线程。
In this case, using a fast device, such as one with fast write nonvolatile cache, will optimize performance.
在这种情况下，高速设备(例如带有高速写非易失高速缓存的设备)的使用将优化性能。
Simplified tuning and operational maintenance due to the fact that with eXtreme Scale, you do not need to worry about tuning the size of the disk offload file or file system cache performance.
由于使用了eXtremeScale，简化了调优和操作维护，您不需要为调优磁盘负载文件的大小或文件系统缓存性能而担忧。
It is important to check the caches any time that you investigate performance, and the Internal Portal cache Listing portlet that can do just that.
在调查性能的任何时候检查缓存非常重要，而内部门户缓存清单Portlet恰好可以完成此工作。
However, if you want to cache schemas to improve performance of your applications today, you will need to use the Xerces2-specific API.
但是目前如果希望缓冲模式以提供应用程序的性能，您只能使用Xerces2专有的API。
WebSphere Application Server provides such a pooling facility together with some additional performance helpers, like a statement cache for frequently executed SQL statements.
WebSphereApplicationServer使用一些额外的性能Helper提供这样的连接池机制，相当于频繁执行的 SQL 语句的语句缓存。
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