Benchmarks have played a very important role in guiding the progress of computer
science systems in various ways. Specifically, in Autonomous environments it has a
major role to play. System crashes and software failures are a basic part of a software
system’s life-cycle and to overcome or rather make it as less vulnerable as possible is the
main purpose of recovery oriented computing. This is usually done by trying to reduce
the downtime by automatically and efficiently recovering from a broad class of transient
software failures without having to modify applications. There have been various types of
benchmarks for recovering from a failure, but in this paper we intend to create a
benchmark framework called the warning benchmarks to measure and evaluate the
recovery oriented systems. It consists of the known and the unknown failures and few
benchmark techniques which the warning benchmarks handle with the help of various
other techniques in software fault analysis. / text
| Identifer | oai:union.ndltd.org:UTEXAS/oai:repositories.lib.utexas.edu:2152/ETD-UT-2012-05-5188 |
| Date | 09 July 2012 |
| Creators | Raman, Nandita |
| Source Sets | University of Texas |
| Language | English |
| Detected Language | English |
| Type | thesis |
| Format | application/pdf |
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