To provide extreme scaling for a worldwide audience, the idea was to cache Web page data in memory after it was generated; this is the familiar data-in-memory pattern.
为了给全世界的观众提供最大的可扩展性，它采取网页数据生成后在内存中缓存的方法；这就是熟悉的内存数据模式。
Consider using an object cache like WebSphere eXtreme Scale rather than using the session for caching.
考虑使用WebSphereeXtremeScale之类的对象缓存，而不是使用会话进行缓存。
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。
We will also discuss the cache invalidation scenarios needed by retailers to reflect catalog updates, and consider how eXtreme Scale potentially improves the end user experience during these events.
我们也将讨论零售商所需的缓存失效场景来反映目录更新，并考虑eXtremeScale如何在这些事件中潜在改善用户体验。
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。
As a rule, WebSphere eXtreme Scale users are expected to use less memory per JVM than with a conventional cache.
一般来说，与传统缓存相比，WebSphereeXtremeScale用户预期对每个JVM使用更少的内存。
Replicas can be synchronous or asynchronous; the distinction is important when data is written to a WebSphere eXtreme Scale cache.
复制可以是同步或异步的；将数据写入WebSphereeXtremeScale缓存时区别很重要。
The key difference between a dynacache-based topology and the eXtreme Scale-based topology is that the latter has only a single cache instance that is populated by multiple application server JVMs.
基于dynacache的拓扑和基于eXtreme Scale的拓扑的主要区别是，后者只有一个缓存实例，其中含有多个应用程序服务器J VM。
In addition, applications using the IBM WebSphere eXtreme Scale ObjectMap APIs can utilize the XC10 appliance data cache to store serializable objects.
另外，使用IBMWebSphereeXtremeScale ObjectMapAPIs的应用程序能够利用XC10设备数据缓存来存储可序列化对象。
WebSphere eXtreme Scale enables much larger cache capacities than in the past.
WebSphereeXtremeScale能实现比过去更大的缓存容量。
A key feature of WebSphere eXtreme Scale is that it provides a large, scalable, elastic cache.
WebSphereeXtremeScale的关键功能是提供大型、可扩展、弹性的缓存。
The cache is removed from the application's address space and placed in a WebSphere eXtreme Scale's container's address space.
从应用程序地址空间中移除缓存，并放入WebSphereeXtremescale容器的地址空间。
With WebSphere eXtreme Scale, logon took 20 ms with profile cache access, which is 35 times faster.
使用WebSphereeXtremeScale时，带配置文件缓存访问的登录只需要20ms，速度提高了35倍。
For best performance results it is best not to cache distributed maps in eXtreme Scale.
想要达到最佳性能，最好不要在eXtremeScale中缓存分布式映射。
Because of its implementation, WebSphere eXtreme Scale never permits different versions of the same data in its cache.
由于其实现，WebSphereeXtremeScale从不允许在其缓存中有同一数据的不同版本。
WebSphere eXtreme scale USES the concept of a partition to scale out a cache.
WebSphereeXtremeScale使用分区的概念扩展缓存。
WebSphere eXtreme Scale has two different APIs for defining the ways in which objects are placed into and fetched from the cache.
WebSphereeXtremeScale有两个不同的API，用于定义将对象放入缓存和从缓存中获取对象的方式。
When you define a WebSphere eXtreme Scale cache, you specify the level of replication by specifying the number of replica shards.
定义WebSphereeXtremeScale缓存时，您通过指定复制碎片（replica shard）缓存指定复制水平。
It can be deployed as a cache for IBM DB2, IDS, or Oracle RDBMS to deliver performance-critical data with extreme speed.
它可以作为IBMDB 2、IDS或OracleRDBMS的缓存，为性能关键数据提供极高的访问速度。
WebSphere extreme Scale provides an extremely powerful coherent distributed cache.
WebSphereeXtremeScale提供了极其强大的一致性分布式缓存。
Here, WebSphere eXtreme Scale is used as a network-attached side cache holding around 8 GB of profiles (4 GB + 4 GB of replicas for high availability).
在此，使用WebSphereeXtremeScale作为网络附加的sidecache，保存近8GB的配置文件(4 GB + 4 GB用于高可用性的副本)。
To place an item in the cache, WebSphere eXtreme Scale calculates the key's hash code, divides by the number of partitions, and the remainder identifies the partition to store the item.
要将项放入缓存，WebSphereeXtremeScale计算键的散列码，除以分区的编号，余数标识存储项的分区。
The results, as shown in listing 8, show a dramatic speed-up for using WebSphere eXtreme Scale Cache.
结果如清单8 所示，显示了使用WebSphereeXtremeScaleCache 后的显著加速。
The results, as shown in listing 8, show a dramatic speed-up for using WebSphere eXtreme Scale Cache.
结果如清单8 所示，显示了使用WebSphereeXtremeScaleCache 后的显著加速。
应用推荐