JUCS - Journal of Universal Computer Science 11(8): 1397-1410, doi: 10.3217/jucs-011-08-1397
Evaluating Trigger Conditions on Streaming Time Series with User-given Quality Requirements
Like Gao‡, Min Wang§, X. Sean Wang|‡ CS Dept., University of Vermont, United States of America§ IBM T.J. Watson Research Center, NY, United States of America| CS Dept., University of Vermont, VT, United States of America
Corresponding author: Like Gao ( lgao@cs.uvm.edu ) © Like Gao, Min Wang, X. Wang. This article is freely available under the J.UCS Open Content License. Citation:
Gao L, Wang M, Wang XS (2005) Evaluating Trigger Conditions on Streaming Time Series with User-given Quality Requirements. JUCS - Journal of Universal Computer Science 11(8): 1397-1410. https://doi.org/10.3217/jucs-011-08-1397 |  |
Abstract
For many applications, it is important to evaluate trigger conditions on streaming time series. 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 user-defined probabilistic quality requirements, are provided 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 quality requirements.
Keywords
QoS (Quality of Service), trigger, streaming time series, prediction model