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Author Cammert, M. ♦ Kramer, J. ♦ Seeger, B. ♦ Vaupel, S.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2006
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Memory management ♦ Runtime ♦ Quality of service ♦ Mathematics ♦ Computer science ♦ Size control ♦ Sampling methods ♦ Query processing ♦ Aggregates ♦ Algebra
Abstract Adaptivity is a challenging open issue in data stream management. In this paper, we tackle the problem of memory adaptivity inside a system executing temporal sliding window queries over continuous data streams. Two different techniques to control the memory usage at runtime are proposed which refer to changes in window sizes and time granularities. Both techniques differ from standard load shedding approaches based on sampling as they ensure precise query answers for user-defined Quality of Service (QoS) specifications, even under query re-optimization.
Description Author affiliation: University of Marburg, Germany (Cammert, M.)
ISBN 0769525709
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2006-04-03
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 139.81 kB
Page Count 1
Starting Page 137
Ending Page 137

Source: IEEE Xplore Digital Library