The BigDawg monitoring framework
Name
965198906-MIT.pdf
Description
Full printable version
Size
311.06 KB
Format
Adobe PDF
Checksum (MD5)
c89a826e3ac65710c4b320d360786364
Author(s)
Chen, Peinan
Advisor(s)
Michael R. Stonebraker.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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