FAUVE: Specification and Implementation of Delayed Consistency for Replicated Data in Federated Databases

实用的分布式数据库系统无需严格的集中控制即可运行。这种系统被认为是联合的分布式系统，因为涉及多个站点、分散的权限以及数据抽象级别和所有数据都是最新的需求差异而具有吸引力。通过通信网络进行的交互、网络节点的部分有限可用性、本地数据获取的延迟以及为远程站点导出数据的实际延迟和计算成本，所有这些都共同挫败了网络范围数据一致性的简单方法。节点之间缺乏同步的问题已经被零散地认识到，并提出了许多方法和启发式方法来管理这种环境中的数据。我们有一个简单的模型，允许设计师和用户指定一致性可以暂时放松的程度。Fauve的研究对现有的算法和启发式进行了分类，识别了所做假设中的冲突，并识别了互补的方法。它提供了一个框架，将重点放在目前没有得到充分处理的情况上。该框架为用户提供了规范，并为联邦数据库上的数据库操作提供了成功或失败的衡量标准。这样的措施对于现代计算机系统研究的这一子主题的科学进步是必不可少的。

Practical distributed database systems operate without rigid centralized control. Such systems are considered to be federated distributed systems, and attractive for involving many sites, dispersed authority, and differences in requirements of level of data abstraction and of all data being-up-to-date. The interaction via communication networks, the partial limited availability of network nodes, delays in local data acquisition, and the actual delay and cost of computations to derive data for remote sites all conspire to defeat simple approaches to network- wide data consistency. The problems of lack of synchrony among the nodes have been recognized piecemeal and many methods and heuristics to manage data in this environment have been proposed. We have a simple model to permit designers and users to specify the extent to which consistency can be temporarily relaxed. The FAUVE research classifies existing algorithms and heuristics, identifies conflicts in assumptions made, and recognizes complementary approaches. It provides a framework to focus on situations now not adequately dealt with. This framework provides the users with specifications, and provides database operations on federated databases with a measure of success or failure. Such a measure is essential for the scientific progress in this subtopic of modern computer systems research.