Automatic Empirical Failure Avoidance for Concurrent Software

نویسندگان

  • Brandon Lucia
  • Luis Ceze
چکیده

We propose Aviso, a system for avoiding failures due to concurrency errors. Aviso monitors program events during multithreaded execution. When a failure occurs, Aviso represents sequences of events from the failing execution as state-machines that we call SHIELDs. Aviso can use SHIELDs to avoid event sequences that lead to failures. After a failure, Aviso creates many candidate SHIELDs representing possible causes. Aviso then empirically vets them to determine which best avoid failures. We implemented Aviso and showed it increases reliability, and imposes low performance overhead (0-30%).

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تاریخ انتشار 2012