Xception: A Technique for the Experimental Evaluation of Dependability in Modern Computers
IEEE Transactions on Software Engineering
Dependability Evaluation using a Multi-Criteria Decision Analysis Procedure
DCCA '99 Proceedings of the conference on Dependable Computing for Critical Applications
CSDA '98 Proceedings of the Conference on Computer Security, Dependability, and Assurance: From Needs to Solutions
Automated Robustness Testing of Off-the-Shelf Software Components
FTCS '98 Proceedings of the The Twenty-Eighth Annual International Symposium on Fault-Tolerant Computing
FTCS '98 Proceedings of the The Twenty-Eighth Annual International Symposium on Fault-Tolerant Computing
Functional and Faulty Behavior Analysis: Some Experiments and Lessons Learnt
FTCS '99 Proceedings of the Twenty-Ninth Annual International Symposium on Fault-Tolerant Computing
The Systematic Improvement of Fault Tolerance in the Rio File Cache
FTCS '99 Proceedings of the Twenty-Ninth Annual International Symposium on Fault-Tolerant Computing
An Analysis of Error Behaviour in a Large Storage System
An Analysis of Error Behaviour in a Large Storage System
Towards availability benchmarks: a case study of software raid systems
ATEC '00 Proceedings of the annual conference on USENIX Annual Technical Conference
Toward recovery-oriented computing
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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We present our experiences in benchmarking the reliability of the cache component of a storage system in a development environment. The reliability metrics we measured are availability from the standpoint of the host and maintainability from the standpoint of the system operator. We created errors using software fault injection, and measured their impact using a combination of performance measurement techniques and the rehearsal of maintenance procedures. This paper gives three case studies. The first two describe experiments that recreate very specific breakdowns in the software logic, and the third describes an experiment simulating a memory hardware failure that creates unpredictable effects. We found that, taken together, these various techniques gave us a useful picture of how well our cache management software tolerated faults.