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Quality-driven evaluation of trigger conditions on streaming time series

Published: 13 March 2005 Publication History

Abstract

For many applications, it is important to evaluate trigger conditions on time series streams. In a resource constrained environment, users' needs should ultimately decide how the evaluation system balances the competing factors such as evaluation speed, result precision, and load shedding level. This paper presents a basic framework for evaluation algorithms that takes user-specified quality requirements into consideration. Three optimization algorithms, each under a different set of quality requirements, are developed in the framework: (1) minimize the response time given accuracy requirements and without load shedding; (2) minimize the load shedding given a response time limit and accuracy requirements; and (3) minimize one type of accuracy errors given a response time limit and without load shedding. Experiments show that these optimization algorithms effectively achieve their optimization goals while satisfying the corresponding user-specified quality requirements.

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  • (2010)Monitoring continuous state violation in datacenters: Exploring the time dimension2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)10.1109/ICDE.2010.5447923(968-979)Online publication date: Mar-2010

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cover image ACM Conferences
SAC '05: Proceedings of the 2005 ACM symposium on Applied computing
March 2005
1814 pages
ISBN:1581139640
DOI:10.1145/1066677
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 13 March 2005

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SAC05: The 2005 ACM Symposium on Applied Computing
March 13 - 17, 2005
New Mexico, Santa Fe

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  • (2010)Monitoring continuous state violation in datacenters: Exploring the time dimension2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)10.1109/ICDE.2010.5447923(968-979)Online publication date: Mar-2010

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