STREAM: The Stanford Data Stream Management System

STREAM: The Stanford Data Stream Management System
复制标题

DOI:
10.1007/978-3-540-28608-0_16
复制
发表时间:
2016-01-01
期刊:
DATA STREAM MANAGEMENT: PROCESSING HIGH-SPEED DATA STREAMS
影响因子:
--
通讯作者:
Widom, Jennifer
Widom, Jennifer
中科院分区:
其他
文献类型:
--
作者:
Arasu, Arvind;Babcock, Brian;Widom, Jennifer

文献摘要

被引文献

相似文献

STREAM是一个通用的关系型数据流管理系统(DSMS)。STREAM支持声明式查询语言和灵活的查询执行计划。它旨在通过仔细的资源分配和使用,以及在必要时优雅地降级到近似答案,来处理高数据速率和大量连续查询。关于2002年末的语言设计、算法、系统设计和实现的描述可以在[3]中找到。演示主要集中在两个方面:
STREAM is a general-purpose relational Data Stream Management System (DSMS). STREAM supports a declarative query language and flexible query execution plans. It is designed to cope with high data rates and large numbers of continuous queries through careful resource allocation and use, and by degrading gracefully to approximate answers as necessary. A description of language design, algorithms, system design, and implementation as of late 2002 can be found in [3]. The demonstration focuses on two aspects: