DOEF：一个动态对象求值框架
DOEF: A Dynamic Object Evaluation Framework
摘要：
在面向对象或对象-关系数据库中，例如多媒体数据库或大多数XML数据库，访问模式不是静态的，即，应用程序并不总是以相同的顺序重复地访问相同的对象。然而，到目前为止，这一直是这些数据库和相关优化技术（如聚类）的评估方式。本文开辟了关于这个问题的研究，提出了一个动态对象评估框架（DOEF），通过定义可配置的风格的变化，实现访问模式的变化。这个初步的原型被设计成开放和完全可扩展的。为了说明DOEF的能力，我们用它来比较四个国家的最先进的动态聚类算法的性能。结果表明，DOEF确实是有效的，在确定每个动态聚类算法的适应性访问模式的变化。
英文摘要：
In object-oriented or object-relational databases such as multimedia databases or most XML databases, access patterns are not static, i.e., applications do not always access the same objects in the same order repeatedly. However, this has been the way these databases and associated optimisation techniques like clustering have been evaluated up to now. This paper opens up research regarding this issue by proposing a dynamic object evaluation framework (DOEF) that accomplishes access pattern change by defining configurable styles of change. This preliminary prototype has been designed to be open and fully extensible. To illustrate the capabilities of DOEF, we used it to compare the performances of four state of the art dynamic clustering algorithms. The results show that DOEF is indeed effective at determining the adaptability of each dynamic clustering algorithm to changes in access pattern.
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