This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/22381
Description
Title
Benchmarking of fault-tolerant systems
Author(s)
Tsai, Timothy K.
Issue Date
1996
Doctoral Committee Chair(s)
Iyer, Ravishankar K.
Department of Study
Electrical and Computer Engineering
Discipline
Electrical and Computer Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
This thesis presents a benchmark for evaluating fault tolerance. The benchmark is based on the FTAPE tool, which injects CPU, memory, and disk faults and generates workloads with specifiable amounts of CPU, memory, and disk activity. Two benchmark metrics are produced: (1) a count of the number of catastrophic incidents and (2) the average performance degradation. The catastrophic incident count represents the recovery coverage of the system, while the performance degradation reflects the performance of the system in the presence of faults.
The benchmark is fully functional and has been implemented on three Tandem fault-tolerant machines (Prototypes A, B, and C). The benchmarks results show that Prototypes B and C are more fault-tolerant than Prototype A, in that they suffer fewer catastrophic incidents under the same workload conditions and fault injection method. Also, Prototype C suffers less performance degradation in the presence of faults, which might be an important concern for time-critical applications.
Fault injection plays an important part in the benchmark because it is the means by which fault-tolerant activity is generated. To ensure a high level of fault activation and error propagation, focused fault injection strategies are used. Two such strategies are presented in this thesis: stress-based injection and path-based injection.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.