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Clustering Events on Streams using Complex Context Information YongChul Kwon, Wing Yee Lee, Magdalena Balazinska
 

Summary: Clustering Events on Streams using Complex Context Information
YongChul Kwon, Wing Yee Lee, Magdalena Balazinska
University of Washington
Seattle, WA
{yongchul,wingylee,magda}@cs.washington.edu
Guiping Xu
Huazhong University of Sci. & Tech.
Wuhan, China
gpxu@mail.hust.edu.cn
Abstract
Monitoring applications play an increasingly important
role in many domains. They detect events in monitored sys-
tems and take actions such as invoke a program or notify
an administrator. Often administrators must then manu-
ally investigate events to figure out the source of a prob-
lem. Stream processing engines (SPEs) are general pur-
pose data management systems for monitoring applications.
They provide low-latency stream processing but have lim-
ited or no support for manual event investigation. In this
paper, we propose a new technique for an SPE to support

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle
Balazinska, Magdalena - Department of Computer Science and Engineering, University of Washington at Seattle

 

Collections: Computer Technologies and Information Sciences