• The database is now offloaded as it gets writes from the cluster, all reads are satisfied using the cache in the cluster member.

    由于数据库是从群集中写入的,所以它现在被卸载,通过集群成员中的缓存满足了所有读取。

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  • Dynamic cache can take advantages of DRS in the application server to replicate cached data across servers in a cluster.

    动态缓存可以利用应用服务器中的DRS在集群的各个服务器中复制缓存的数据。

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  • Servers in a cluster access cache instances by using its JNDI name.

    集群中的服务器可以通过使用其JNDI名称来访问缓存实例。

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  • The benefits and specifics of distributing the context cache in a cluster are described in the following sections.

    下面几个部分将描述在集群中分布上下文缓存的优点和细节。

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  • Continuous querying enables client applications to register queries to express complex interest on moving data stored in the cache server cluster.

    持续查询使得客户端应用能注册对移动存储在缓存服务器集群上的数据的查询。

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  • "To streamline deployment, the installation program now supports automated installation for the cache host." Cluster Configuration Editing Options Decoupled from Storage Options.

    为了简化部署,安装程序现在支持对缓存宿主的自动安装。

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  • Infinispan, which is a successor to JBoss Cache caching framework, is an open source data grid platform that makes use of distributing state across nodes in a cluster.

    Infinispan是JBossCache缓存框架的后续项目,它是一个开源的数据网格平台,用于访问分布式状态的群集节点。

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  • DRS makes data for session management, dynamic cache, and stateless session bean available across servers in a cluster.

    DRS使得集群中的各个服务器都可以使用会话管理、动态缓存和无状态会话Bean的数据。

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  • The Notes client stores a list of the cluster servers in a local cache for just such an event.

    (为了应付这种情况,Notes客户机在本地缓存中存储一个集群服务器列表)。

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  • Dynacache is an in-process cache. Figure 1 illustrates that each member of the Application Server cluster contains its own instance of dynacache, including copies of each cache entry.

    dynacache是一个进程内缓存,图1说明了每个ApplicationServer集群成员包含其自己的dynacache实例,包括每个缓存项的副本。

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  • Of course, the Network Deployment application server cache is much more sophisticated than this diagram shows; for example, the cache can be distributed to multiple application servers in a cluster.

    当然,NetworkDeployment应用程序服务器的缓存要比图 3显示的复杂得多,例如缓存可能分布在集群中的多个应用程序服务器上。

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  • As mentioned previously, the context data is cached in a cluster-wide cache that scales with the cluster.

    正如前面提到过的,上下文数据缓存在随集群而扩展的集群范围的缓存中。

    youdao

  • However, when the application is clustered and a cluster aware cache is needed, the local read-only caches are not enough.

    不过,当对应用程序进行集群并需要识别集群的缓存时,本地只读缓存是不够的。

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  • 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。

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  • Now I want to know if it's possible to achieve a cluster safe cache with the above stack?

    现在我想知道如果它是可能的和上面的栈实现安全集群的缓存吗?

    youdao

  • Now I want to know if it's possible to achieve a cluster safe cache with the above stack?

    现在我想知道如果它是可能的和上面的栈实现安全集群的缓存吗?

    youdao

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