当应用程序有一个单独的功能需要访问或更新多个事务资源中的数据时，应该使用分布式事务。
Whenever an application has a single function that needs to access or update the data in multiple transactional resources, it should use a distributed transaction.
这不但使对分布式站点数据更新变得更为容易，而且当服务器变得不可用时为数据存储提供了备份。
This not only makes it far easier to keep distributed sites up-to-date, but provides a backup repository in the event a server becomes unavailable.
本文介绍如何设置内存中数据网格，然后以分布式和并行方式跨网格执行计算和数据更新。
This article shows you how to set up an in-memory grid of data, and then perform computation and data updates in a distributed and parallel manner across the grid.
分布式objectgrid可在ObjectGrid服务器中承载数据，而ObjectGrid客户机可通过连接到服务器来读取或更新数据。
A distributed ObjectGrid hosts data in ObjectGrid servers, and ObjectGrid clients connect to servers to read or update data.
本论文主要考虑在分布式环境下数据库记录增加后，全局频繁项目集的快速更新。
This paper focuses on the fast update for globally frequent item sets in distributed environment when the records in database increase.
在典型的分布式交互环境中，环境信息动态更新是基于协议数据单元(PDU)，它不提供数据可靠性传输保证。
In a typical distributed interaction environment, environment information dynamic update is based on Protocol Data Unit (PDU), which does not guarantee reliable message transfer.
同时，详细讨论了实时环境下分布式数据管理遇到的数据分页，数据的更新和维护，结点恢复等典型问题。
At the same time, author discusses mainly data pagination, data updating and maintenance, nodes recovery of distributed data management in a naval command and control system.
采用分布式数据系统来设计实现分布式本体的方案，既能保证系统数据的分布性，又可以成功实现系统中实时更新和数据的一致性。
By using distributed database to realize distributed ontology, we can both ensure the distributedness of the system and the real-time updating and data consistency of the system.
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。
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.
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