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Moirae: History-Enhanced Monitoring Magdalena Balazinska1, YongChul Kwon1, Nathan Kuchta1, and Dennis Lee2
 

Summary: Moirae: History-Enhanced Monitoring
Magdalena Balazinska1, YongChul Kwon1, Nathan Kuchta1, and Dennis Lee2
1Department of Computer Science and Engineering 2Marchex Inc.
University of Washington, Seattle, WA Seattle, WA
{magda,yongchul,nkuchta}@cs.washington.edu {dlee}@marchex.com
ABSTRACT
In this paper, we investigate the benefits and challenges of integrat-
ing history into a near-real-time monitoring system; and present a
general purpose continuous monitoring engine, called Moirae, that
supports this integration. Moirae is designed to enable different
types of queries over live and historical data. In particular, Moirae
supports (1) queries that look up specific historical information for
each newly detected event and (2) queries that complement new
events with information about similar past events. Moirae focuses
on applications where querying a historical log in its entirety would
be too slow to meet application needs, and could potentially yield
an overwhelming number of results. The goal of the system is to
produce the most relevant approximate results quickly and, when
necessary, additional more precise results incrementally. In this
paper, we discuss the challenges of integrating history into a con-

  

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