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CIKM
2011
Springer

MTopS: scalable processing of continuous top-k multi-query workloads

7 years 10 months ago
MTopS: scalable processing of continuous top-k multi-query workloads
A continuous top-k query retrieves the k most preferred objects in a data stream according to a given preference function. These queries are important for a broad spectrum of applications ranging from web-based advertising to financial analysis. In various streaming applications, a large number of such continuous top-k queries need to be executed simultaneously against a common popular input stream. To efficiently handle such top-k query workload, we present a comprehensive framework, called MTopS. Within this MTopS framework, several computational components work collaboratively to first analyze the commonalities across the workload; organize the workload for maximized sharing opportunities; execute the workload queries simultaneously in a shared manner; and output query results whenever any input query requires. In particular, MTopS supports two proposed algorithms, MTopBand and MTopList, which both incrementally maintain the top-k objects over time for multiple queries. As the f...
Avani Shastri, Di Yang, Elke A. Rundensteiner, Mat
Added 13 Dec 2011
Updated 13 Dec 2011
Type Journal
Year 2011
Where CIKM
Authors Avani Shastri, Di Yang, Elke A. Rundensteiner, Matthew O. Ward
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