Summary: Clustering Events on Streams using Complex Context Information
YongChul Kwon, Wing Yee Lee, Magdalena Balazinska
University of Washington
Huazhong University of Sci. & Tech.
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