数据流索引模型的比较评价
Comparative Evaluation of Data Stream Indexing Models
摘要：
近年来，数据流的管理和处理已经成为计算机科学的几个领域（例如，分布式系统、数据库系统和数据采掘）中活跃的研究主题。数据流可以被认为是一个短暂的，不断增加的数据序列。在数据流应用中，由于在线监控的存在，对用户查询的响应要求具有时间和空间效率。在本文中，我们考虑索引的特殊要求，以确定在数据流处理环境中的不同技术的性能。流索引与传统数据库中的方法有主要区别。此外，我们分析比较数据流索引模型，可以提供一个合适的方法进行流索引。
英文摘要：
In recent years, the management and processing of data streams has become a topic of active research in several fields of computer science such as, distributed systems, database systems, and data mining. A data stream can be thought of as a transient, continuously increasing sequence of data. In data streams' applications, because of online monitoring, answering to the user's queries should be time and space efficient. In this paper, we consider the special requirements of indexing to determine the performance of different techniques in data stream processing environments. Stream indexing has main differences with approaches in traditional databases. Also, we compare data stream indexing models analytically that can provide a suitable method for stream indexing.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
