Analyzing a Computer’s Ability to Monitor Data Provenance Events
Name
Becker-beckersc-meng-eecs-2022-thesis.pdf
Description
Thesis PDF
Size
1.78 MB
Format
Adobe PDF
Checksum (MD5)
712c60ba1a673b0c7b123114e5761622
Author(s)
Becker, Scott
Advisor(s)
Cafarella, Michael
Date Issued
May 2022
Publisher
Massachusetts Institute of Technology
Abstract
As the amount of data in the world continues to increase, the ability to track data provenance becomes more and more important. In order to tackle this issue, a tool, Knowledge Network Programming System (KNPS), was built to track data history. To do this, KNPS monitors a computer’s processes and file system in order to determine the events that modified the data on the computer. This paper looks into how the amount of CPU Usage the KNPS tools uses effects how well the tool is able to capture these events. Additionally, a prediction mechanism was built in the tool to try to predict events that were not captured. This effectiveness of the prediction mechanism is explored in this paper as well.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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