Certifying checksum-based logging in the RapidFSCQ crash-safe filesystem
Name
967665009-MIT.pdf
Description
Full printable version
Size
661.63 KB
Format
Adobe PDF
Checksum (MD5)
6e4e09c9b4f963d735777ca8c22b5267
Author(s)
Wang, Stephanie, M. Eng Massachusetts Institute of Technology
Advisor(s)
Frans Kaashoek and Nickolai Zeldovich.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
As more and more software is written every day, so too are bugs. Formal verification is a way of using mathematical methods to prove that a program has no bugs. However, if formal verification is to see widespread use, it must be able to compete with unverified software in performance. Unfortunately, many of the optimizations that we take for granted in unverified software depend on assumptions that are difficult to verify. One such optimization is data checksums in logging systems, used to improve I/O efficiency while still ensuring data integrity after a crash. This thesis explores a novel method of modeling the probabilistic guarantees of a hash function. This method is then applied to the logging system underlying RapidFSCQ, a certified crash-safe filesystem, to support formally verified checksums. An evaluation of RapidFSCQ shows that it enables end-to-end verification of application and filesystem crash safety, and that RapidFSCQ's optimizations, including checksumming, achieve I/O performance on par with Linux ext4. Thus, this thesis contributes a formal model of hash function behavior with practical application to certified computer systems.
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 (pages 57-60).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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