This is commonly referred to as the cache consistency problem.
这通常叫做缓存一致性问题。
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。
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。
The lifetime of objects in the cache is determined by the consistency of the data in the cache across a set of accesses to the data.
缓存中对象的生命周期由跨越一组数据访问的缓存中的数据一致性决定。
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。
This pattern can improve performance and also helps to maintain consistency between data held in the cache and the data in the underlying data store.
这种模式可以提高性能，也有助于保持在缓存中的数据之间的一致性和底层数据存储的数据。
It describes in structure and principle of ABWC and discusses transparency, consistency, replacement algorithm, prefetching policy and other main problems which need to be solved in cache designing.
描述该框架的组成结构与工作原理，对缓存设计时需要解决的透明性、一致性、替换算法和预取策略等主要问题进行讨论并给出性能测试和分析。
So object cache must solve problems in system scalability, data integrity, data consistency and data fault tolerance etc.
对象缓存需要解决诸如系统的可伸缩性，数据完整性，数据一致性以及数据的容错性。
Using correlative query cache to replace tradition cache, the article designs and implements the cache structure, query matching, strategy of consistency and strategy of replacement.
设计使用基于查询相关查询的缓存代替传统缓存，对于缓存的结构、查询匹配、一致性维护策略及替换策略均作了详细设计。
The system of this thesis employs scope consistency model, multi-write and lock-based cache protocol. In communication module, we propose a new framework.
数据同步方面系统采用了域一致性模型、多写协议，和基于锁的同步方式；
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？
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 caches communicate among themselves, using HTTP and special cache-coordination protocols, to divide the contents appropriately and maintain consistency among the servers.
高速缓存使用HTTP和专用的高速缓存协调协议相互通信，以适当分配内容并维护服务器之间的一致性。
The caches communicate among themselves, using HTTP and special cache-coordination protocols, to divide the contents appropriately and maintain consistency among the servers.
高速缓存使用HTTP和专用的高速缓存协调协议相互通信，以适当分配内容并维护服务器之间的一致性。
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