• The device comprises the data cache server and data acquisition modules arranged in each base station.

    所述装置包括数据缓冲服务器和设置在各个基站的数据采集模块。

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  • Matching work partitions to their data partitions will increase the probability of a cache hit within the server and decrease remote accesses to the database, which introduces quite a bit of latency.

    将工作分区与它们的数据分区进行匹配,这将增加服务器缓存的命中概率,并减少对数据库的远程访问,后者会引起较大的延迟。

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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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  • You can use it when the amount of data to be stored in the cache exceeds the main memory of the application server systems.

    当要在缓存中存储的数据量超过应用程序服务器系统的主存时,您就可以使用此功能。

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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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  • Following is a scenario that can potentially "poison" the edge server cache with invalid data.

    下面的场景可能会用无效的数据“毒害”边缘服务器缓存。

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  • It's highly recommended that the data provider cache the results in memory for optimal performance, particularly because the data is consumed through asynchronous server calls.

    强烈建议数据提供者将结果缓存在内存中,以便优化性能,特别是通过异步服务器调用使用数据时。

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  • Each server added increased cache redundancy and difficulty in accessing cached data.

    每台服务器在访问缓存数据时的复杂性都增加了,而且还加入了更多的缓存冗余。

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  • With the portlet window id, the portlet now has the means to cache such data in cache systems provided by the application server, or by another caching system.

    使用Portlet窗口ID, Portlet现在可以在缓存系统中缓存由应用程序服务器或其他缓存系统提供的此类数据。

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  • The Data Grid server cache, an object server cache residing within close proximity of the JVM executing the business logic.

    数据网格服务器缓存,位于与执行业务逻辑的JVM紧密接近的位置的对象服务器缓存。

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  • 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。

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  • One of the options is to use the dynamic cache service, which is built into WebSphere Application Server, to serve dynamic content and cache data.

    其中的一个选项是使用动态缓存服务,WebSphereApplicationServer 中内置了该服务,用于提供动态内容和缓存数据。

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  • We showed how to use the WebSphere Application Server dynacache infrastructure in order to cache data in portlets.

    我们展示了如何使用WebSphereApplicationServerdynacache基础设施在Portlet中缓存数据。

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  • 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。

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  • To compute the data access time, you need to know the probabilities for the data existing in the near-cache, in the server cache, and in the database.

    要计算数据访问时间,您需要了解数据存在于近缓存中、服务器缓存中、以及数据库中的概率。

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  • In this example, 30% of the data is located in the near-cache, 70% of the data resides in the object server cache, and the rest of the data would be retrieved from the database.

    在这个示例中,30%的数据位于近缓存中,70%的数据位于对象服务器缓存中,而剩余的数据将从数据库中进行检索。

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  • To pull in data from the server and cache it locally.

    从服务器拉入数据并缓存在本地。

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  • The value TCP_HIT indicated that the Akamai edge server is returning the file from the cache and did not need to go back to our data center to fetch the same file.

    tcp_hit值表明Akamai边缘服务器从缓存中返回此文件,并不需要通过访问我们的数据中心获取相同的文件。

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  • The CDN is a cache, meaning that is has value when it can serve data directly and not need to contact the origin server.

    CDN是一个缓存,这意味着只有直接提供数据而不需要和源服务器交互时才有价值。

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  • The statement cache size can be configured by navigating to Resources => JDBC => Data sources => data_source => WebSphere Application Server data source properties.

    要配置语句缓存大小,可以导航到Resources =>JDBC =>Datasources => data_source =>WebSphereApplicationServer datasourceproperties。

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  • Thence it is processed variant degree research on data synchronism technology, cache consistency technology and variable consistency server replication.

    然后针对数据同步技术、缓存的一致性技术、可变一致性复制机制进行了不同程度的研究。

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  • With such cache protocols, a cache server can query all the other servers at the same time to find out if they contain the needed data.

    有了这些高速缓存协议,高速缓存服务器就可以同时查询所有其他服务器,以查看它们是否包含所需的数据。

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  • As soon as you add a second cache server to the system, you encounter this problem: how do you maintain the consistency among the multiple servers that should contain identical data?

    只要在系统中添加第二个高速缓存服务器,就会遇到以下问题:如果多个服务器应该包含相同的数据,如何维护多个服务器之间的一致性呢?

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  • The cache server checks to see if the page can be cached, retrieves the data to cache locally, and, at the same time, passes through the contents to the client.

    高速缓存服务器检查该网页是否能被高速缓存,然后将数据检索到本地高速缓存中,同时将这些内容传递给客户机。

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  • It makes use of data Binding and Remote data Service to cache the vector data in the server-side database at client side so that users can zoom and translate the graph in the browser.

    它运用数据绑定和远程数据服务技术,将服务器端库表中的矢量数据缓存到前端,使用户在浏览器端就能完成缩放、平移等图形操作。

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  • Cache consistency technology and variable consistency server replication are of definite difficulty in solving data consistency.

    缓存的一致性技术和可变一致性复制机制在解决数据一致性问题时具有一定的实现难度。

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  • A cache server sits directly on the data path between the clients and the remote Web sites and intercepts all outgoing requests.

    高速缓存服务器直接位于客户机和远程网站之间的数据路径上,并中途截取所有外发请求。

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  • Redirect protocols forward the client request to the cache server in the multilevel system that contains the needed data.

    重定向协议将客户机请求转发给多层系统中包含所需数据的高速缓存服务器。

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  • Redirect protocols forward the client request to the cache server in the multilevel system that contains the needed data.

    重定向协议将客户机请求转发给多层系统中包含所需数据的高速缓存服务器。

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