Improving Data Freshness in Replicated Databases
Improving Data Freshness in Replicated Databases
复制标题
提高复制数据库中的数据新鲜度
DOI：
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复制
发表时间：
1998
期刊：
影响因子：
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通讯作者：
Esther Pacitti
中科院分区：
文献类型：
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作者：
Esther Pacitti
数据复制常用于分布式数据库应用中，以提高数据的可用性和性能。复制的数据必须使用更新传播策略定期刷新。当前大多数策略保证复制数据的相互一致性，但效率低下。延迟（或异步）复制是一种替代的、更高效的解决方案，它放宽了相互一致性的要求。在诸如需要复制数据高度时效性的在线金融交易和电信系统等应用中需要这种方式。在这种情况下，它的时效性概念……
Data replication is often used in distributed database applications to improve data availability and performance. Replicated data must be periodicall- y refreshed using update propagation strategies. Most of the current strategie- s guarantee mutual consistency of replicated data but are inefficient. Lazy (or asynchronous) replication is an alternative, more efficient solution where mutual consistency is relaxed. It is needed in applications such as on-line financial transactions and telecommunication systems which require high freshness of replicated data. In this case, the concept of it freshness