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Adaptive Class-Based Scheduling of Continuous Queries

DocUID: 2012-002 Full Text: PDF

Author: Lory Al Moakar, Alexandros Labrinidis, Panos K. Chrysanthis

Abstract: The emergence of Data Stream Management Systems (DSMS) facilitates implementing many types of monitoring applications via continuous queries (CQs). However, these applications usually have different quality-of-service requirements for different CQs. In this work, we are proposing the Adaptive Broadcast-Disks-Style (BDS) scheduler, a new scheduling policy which employs two-level scheduling that can handle different ranks of CQ classes. The BDS scheduler optimizes the weighted average response time of the CQ classes while still preserving the relative importance of each class. We demonstrate that BDS outperforms state-of-the-art schedulers and adapts to changes in the workload without manual intervention.

Published In: Proc. of the Seventh International Workshop on Self-Managing Database Systems

Pages: pp. 1-6

Year Published: 2012

Project: AQSIOS Subject Area: Data Streams

Publication Type: Workshop Paper

Sponsor: NSF OIA-1028162, NSF CAREER IIS-0746696, NSF IIS-0534531

Citation:Text Latex BibTex XML Lory Al Moakar, Alexandros Labrinidis, Panos K. Chrysanthis. Adaptive Class-Based Scheduling of Continuous Queries, Proc. of the Seventh International Workshop on Self-Managing Database Systems (SMDB'12), pp. 1-6, April 2012.