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Real-time scheduling for continuous queries with deadlines
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Symposium on Applied Computing archive
Proceedings of the 2009 ACM symposium on Applied Computing table of contents
Honolulu, Hawaii
POSTER SESSION: Poster papers table of contents
Pages 1516-1517  
Year of Publication: 2009
ISBN:978-1-60558-166-8
Authors
Li Ma  Chinese Academy of Sciences, Beijing, P.R. China and China University of Petroleum, Dongying, P.R. China and Graduate University, Beijing, P.R. China
Xin Li  Shandong University, Jinan, P.R. China
Yongyan Wang  Chinese Academy of Sciences, Beijing, P.R. China
Hongan Wang  Chinese Academy of Sciences, Beijing, P.R. China
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Many stream-based applications have real-time performance requirements for continuous queries over time-varying data streams. In order to address this challenge, a real-time continuous query model is presented to handle multiple queries with timing constraints. In this model, the execution of one tuple passing through an operator path is modeled as a real-time task instance. A fine-grained scheduling strategy named OP-EDF is proposed for real-time scheduling, which schedules the operator path with the earliest deadline of the waiting tuples at any time slot. The experimental results show that the proposed continuous query model and scheduling algorithm are effective in real-time query processing for data streams with bursty arrival rates.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Q. C. Jiang and S. Chakravarthy. Scheduling Strategies for Processing Continuous Queries over Streams. In Proc. of the 21st British National Conf. on Databases, 2004.16--30.
 
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Collaborative Colleagues:
Li Ma: colleagues
Xin Li: colleagues
Yongyan Wang: colleagues
Hongan Wang: colleagues