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Adaptive load shedding via fuzzy control in data stream management systems

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4 Author(s)
Basaran, C. ; Dept. of Inf. & Comm. Eng., Daegu Gyeongbuk Inst. of Sci. & Technol. (DGIST), Daegu, South Korea ; Kyoung-Don Kang ; Yan Zhou ; Suzer, M.H.

Data stream management systems (DSMS) aim to process massive data streams in a timely fashion to support important applications, e.g., financial market analysis. However, DSMS can be overloaded due to large bursts in data stream arrivals and data-dependent query executions. To avoid overloads, we design a new load shedding scheme by applying distributed fuzzy logic control, which is very effective to deal with uncertainties in highly dynamic systems such as DSMS, based on the per-stream backlog and selectivity of each query operator. We have implemented our approach by extending an open source distributed DSMS. The performance evaluation using high-rate Internet traces shows that our approach closely supports a specified backlog bound for each data stream queue, while improving the query processing delay, with little overhead.

Published in:

Service-Oriented Computing and Applications (SOCA), 2012 5th IEEE International Conference on

Date of Conference:

17-19 Dec. 2012

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