NDLI: How to Optimize the Quality of Sensor Data Streams

Content Provider	IEEE Xplore Digital Library
Author	Klein, A. Lehner, W.
Copyright Year	2009
Abstract	Present data stream management systems allow the automatic recording and processing of huge data volumes to guide any kind of process control or business decision. However, a crucial problem is posed by data quality deficiencies due to imprecise sensors, environmental influences, transfer failures, etc. If not handled carefully, they lead to misguided decisions and inappropriate actions. In this paper, we present the quality-driven optimization of stream processing to improve the resulting quality of data and service. First, we present the optimization objectives and discuss the parameterization of stream processing operators to define the underlying optimization problem. We develop the generic optimization framework and present the quality-driven evolution strategy (QES). Finally, we show that the designed optimization scales very well with regard to processing complexity and reduces numerical errors in the contact lens production monitoring.
Starting Page	13
Ending Page	19
File Size	417430
Page Count	7
File Format	PDF
ISBN	9781424446803
DOI	10.1109/ICCGI.2009.10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-23
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Query Optimization Process control Sensor systems Data Stream Processing Information technology Chemical technology Design optimization Technology management Heuristic Optimization Data Quality Databases Optical design Quality management Lenses
Content Type	Text
Resource Type	Article

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