The BigDawg monitoring framework

Author(s)
Chen, Peinan
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Michael R. Stonebraker.
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Abstract
In this thesis, I designed and implemented a monitoring framework for the BigDawg federated database system which maintains performance information on benchmark queries. As environmental conditions change, the monitoring framework updates existing performance information to match current conditions. Using this information, the monitoring system can determine the optimal query execution plan for similar incoming queries. A series of test queries were run to assess whether the system correctly determines the optimal plans for such queries.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (page 44).
 
Date issued
2016
URI
http://hdl.handle.net/1721.1/105942
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.
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