.png){kind=icon}
返回
Processing Flows of Information: From Data Stream to Complex Event Processing
.png){kind=icon}
PRE
AI
DOI：10.1145/2187671.2187677.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A large number of distributed applications requires continuous and timely processing of information as it flows from the periphery to the center of the system. Examples include intrusion detection systems which analyze network traffic in real-time to identify possible attacks; environmental monitoring applications which process raw data coming from sensor networks to identify critical situations; or applications performing online analysis of stock prices to identify trends and forecast future values. Traditional DBMSs, which need to store and index data before processing it, can hardly fulfill the requirements of timeliness coming from such domains. Accordingly, during the last decade, different research communities developed a number of tools, which we collectively call Information flow processing (IFP) systems, to support these scenarios. They differ in their system architecture, data model, rule model, and rule language. In this article, we survey these systems to help researchers, who often come from different backgrounds, in understanding how the various approaches they adopt may complement each other. In particular, we propose a general, unifying model to capture the different aspects of an IFP system and use it to provide a complete and precise classification of the systems and mechanisms proposed so far.
Keyword:
Design
Documentation
Complex event processing
publish-subscribe
stream processing
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
28
论文数:
2.4K
被引数:
3.5W
机构
引用论文
Selective attenuation by perivascular blood of prostanoid-dependent cerebrovascular dilation in piglets..png)
Stroke
OAAI
StrokeIF0
OAAI分享收藏The benefit of multiple angle observations for visible band remote sensing using night lights
OAAI
IF0
OAAI分享收藏Cerebellotectal pathways in the macaque: Implications for collicular generation of saccadesNeuroscience
NeuroscienceIF0
PREAI
分享收藏分享收藏分享收藏
查看更多内容