solidDB - The frontend in-memory cache.
solidDB-前端内存缓存。
An in-memory cache implementation is also produced.
还生成了一个内存中的缓存实现。
If the value is 0, the memory cache will not be created.
如果该值为0，那么将不会创建内存高速缓存。
The cache implemented by the ESI processor is an in-memory cache.
ESI处理器实现的缓存是内存内缓存。
Memory cache for various requests illustrates one aspect of the statelessness rule.
各种请求的内存缓存从一方面说明了无状态规则。
The in-memory cache greatly reduces database load in complex stateful applications.
内存中的缓存能大大减轻复杂状态应用中数据库的负载。
Each method gains a reference to an EntityManager, which represents the in-memory cache.
每个方法都获取对EntityManager的一个引用，它提供对内存缓存的支持。
The memory region is a pure-memory cache region that uses a Least Recently Used (LRU) algorithm.
内存区域是一个使用最近最少算法（Least RecentlyUsed，LRU）的纯内存缓存区域。
When the memory cache region becomes full, LRU removes the least recently used cached data first.
当内存缓存区域满时，lru会首先删除最近最少使用的缓存数据。
It can be configured to offload cache to disk if the memory cache is full (via the disk offload function).
还可以设置如果内存高速缓存已满，就将缓存转存到磁盘(通过磁盘转存功能)。
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。
While these characteristics are important, they ignore a prominent aspect in web browsing: the memory cache.
虽然这些都是重要的特性，但他们忽略了网页浏览中一个突出的方面- - - - - -缓存。
The following response header in Firefox prevents persistent caching, by forcing the page into the in-memory cache.
下面响应头在Firefox中可以防止持久化的缓存强制页面被缓存到内存中。
WebSphere eXtreme Scale uses loaders to read data from and write data to the database from the in-memory cache.
WebSphereeXtremeScale使用了加载器读取内存中缓存的数据，以及将数据写入到数据库中。
All modern CPUs must utilize local memory cache to minimize latency of fetching instructions and data from memory.
所有现代的CPU必须使用本地存储的缓存，将获取指令和数据的延迟降到最低。
You can see from the last line in Listing 1 that the configuration file specifies the memory cache as a LRUMemoryCache.
从清单1中可以看出，该配置文件将内存缓存指定为一个LRUMemoryCache。
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。
Performance can suffer because the database is too large for any significant part of it to fit in an in-memory cache.
性能也会受影响，因为数据库实在太大，数据库中的任何有效部分都无法装入内存中的缓存。
This directive specifies the size in entries of the in-memory cache maintained by the LDBM backend database instance.
本指令指定LDBM后台数据库实例维护的内存缓存中条目数。
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。
Then DB2 Alphablox attempts to get a result set object from the in-memory cache and sends the results back to the Web browser.
然后DB 2Alphablox尝试从内存高速缓存中获取结果集合对象，并将该结果发送回Web浏览器。
The proxy cache uses a combination of a memory cache and a disk-based cache to save large amounts of data with little overhead.
代理缓存采用了结合内存高速缓存和基于磁盘的缓存，以节省大量的数据几乎没有开销。
You can now configure a private memory cache for every CPUVP to decrease the time of server memory allocation on large multiprocessor computers.
现在可以为每个CPUVP配置一个私有内存缓存，以减少大型多处理器计算机上的服务器内存分配时间。
This enables you to store and later recover entire objects from the memory cache, instead of reconstructing them by hand within your application.
这就让您可以存储并随后从内存存储恢复全部对象，而不是在您的应用程序内手动重构它们。
Due to the latency difference between main memory and on-chip memory cache, POWER7 was designed with three levels of on-chip cache (see Figure 1).
由于主内存和芯片级内存缓存之间的延迟差别，POWER 7设计了三种级别的芯片级缓存机制(见图1)。
In addition to keeping an in-memory cache of "static" HTML pages, Domino can also cache pages that contain macro language (@function) formulas.
除了在内存中缓存静态HTML页面之外，Domino还能够缓存包含宏语言（@function）公式的页面。
It works by retrieving the data row information that the reader transaction needs from the DB2 logs-usually from the log's memory cache, which is very fast.
它采用的方法是从DB 2日志(常常是从非常快速的日志内存缓存)中获取读者事务需要的数据行。
memcached is an open source project designed to make use of the spare RAM in many servers to act as a memory cache for frequently accessed pieces of information.
memcached是一个开源项目，旨在利用多个服务器内的多余RAM来充当一个可存放经常被访问信息的内存缓存。
If files can be served from memory cache, then that decreases the average service time, and hence increases the number of connections per second the server can handle.
如果可以从内存缓存中获取文件，就可以降低平均服务时间，因此增加服务器每秒能够处理的连接数。
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。
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