It gets two request parameters: one contains the name of the cache, which is the JNDI name of the Distributed Map, and the other one is the unique key for getting the data out of the Distributed Map.
它获取两个请求参数：一个参数包含缓存的名称，即分布式映射缓存的jndi名，另一个参数是用于从分布式映射缓存获取数据的唯一密钥。
The latter is a distributed cache since this is where the bulk of storage space is used up, and a scalable mechanism is needed to store the data.
后一个是分布式缓存器，当存储空间的容量用光的时候，就需要一种可扩展的机制来存储这些数据。
On our future plans is a data grid solution based on a distributed cache.
我们未来的计划是提供一个基于分布式缓存的数据网格解决方案。
Available since the CR1 milestone release but important to note, Infinispan v4.2.0, an open source data grid platform, was integrated in JBoss as 6 and is the default distributed cache provider.
Infinispanv4.2.0是个开源的数据网格平台，从CR1里程碑发布时就加入了，现在它也集成到了JBoss AS6中，并且是默认的分布式缓存提供者。
When the long running call is finished and the data is received, it gets stored in the Distributed Map cache of Application Server.
当长时间运行的调用结束并接收到数据时，这些数据将存储在ApplicationServer的分布式映射缓存。
In cases where cache data consistency is important, Ehcache can be distributed using the Terracotta Server Array. This gives developers a distributed cache that maintains data coherence.
在缓存数据的一致性是非常重要的场合下，可以通过TerracottaServerArray实现分布式的Ehcache，这样开发者就拥有了能够维护数据一致性的分布式缓存。
Data stored in Distributed Map can be accessed by handing over a unique key for the data object, also called the cache key.
通过移交数据对象的唯一密钥(也称为缓存密钥)，可以访问存储在分布式映射缓存中的数据。
Ehcache 2.0 also includes an express mode that be used to cluster the application data via configuration changes, whether the data is in Hibernate, a distributed cache, or session objects.
Ehcache 2.0还提供了一种快捷模式通过配置变化集群化应用数据，不论数据在Hibernate中、分布式缓存中还是session对象。
The distributed lock system is used to synchronize GOS steps when accessing data. The consistency of the distributed cache is guaranteed by updating strategies of write-through and write-invalidate.
分布式锁管理机制实现了GOS之间数据访问的同步协调，写通和写—无效的数据更新策略保证了GOS的缓存一致性。
The distributed lock system is used to synchronize GOS steps when accessing data. The consistency of the distributed cache is guaranteed by updating strategies of write-through and write-invalidate.
分布式锁管理机制实现了GOS之间数据访问的同步协调，写通和写—无效的数据更新策略保证了GOS的缓存一致性。
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