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2010

Database-support for Continuous Prediction Queries over Streaming Data

8 years 8 months ago
Database-support for Continuous Prediction Queries over Streaming Data
Prediction is emerging as an essential ingredient for real-time monitoring, planning and decision support applications such as intrusion detection, e-commerce pricing and automated resource management. This paper presents a system that efficiently supports continuous prediction queries (CPQs) over streaming data using seamlessly-integrated probabilistic models. Specifically, we describe how to execute and optimize CPQs using discrete (Dynamic) Bayesian Networks as the underlying predictive model. Our primary contribution is a novel cost-based optimization framework that employs materialization, sharing, and model-specific optimization techniques to enable highly-efficient point- and range-based CPQ execution. Furthermore, we support efficient execution of top-k and threshold-based high probability queries. We characterize the behavior of our system and demonstrate significant performance gains using a prototype implementation operating on realworld network intrusion data and dep...
Mert Akdere, Ugur Çetintemel, Eli Upfal
Added 30 Jan 2011
Updated 30 Jan 2011
Type Journal
Year 2010
Where PVLDB
Authors Mert Akdere, Ugur Çetintemel, Eli Upfal
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