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DILoS: A Dynamic Integrated Load Manager and Scheduler for Continuous Queries

DocUID: 2011-006 Full Text: PDF

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

Abstract: In a Data Stream Management System (DSMS), continuous queries (CQs) registered by different applications inherently have different levels of importance (i.e., quality of service (QoS) and quality of data (QoD) requirements). Moreover, the shift to cloud services and the growing need for monitoring applications will inevitably lead to the establishment of data stream management cloud services. In such a multi-tenant environment, it is expected that the different applications/users will demand different QoS and QoD requirements for their CQs. In this work, we are proposing an approach that exploits the synergy between scheduling and load shedding to effectively handle different ranks of CQ classes, each associated with different QoS and QoD requirements. The proposed approach was implemented and evaluated within AQSIOS, our DSMS prototype.

Published In: The Sixth International Workshop on Self-Managing Database Systems

ISBN: 978-1-4244-9194-0

Pages: pp. 10-15

Year Published: 2011

Note: DOI:10.1109/ICDEW.2011.5767652

Project: AQSIOS Subject Area: Data Streams

Publication Type: Workshop Paper

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

Citation:Text Latex BibTex XML Thao N. Pham, Lory Al Moakar, Panos K. Chrysanthis, and Alexandros Labrinidis. DILoS: A Dynamic Integrated Load Manager and Scheduler for Continuous Queries, The Sixth International Workshop on Self-Managing Database Systems (SMDB'11), pp. 10-15, 978-1-4244-9194-0, April 2011.(DOI:10.1109/ICDEW.2011.5767652)