Lessons and challenges in automating data dependability
Proceedings of the 11th workshop on ACM SIGOPS European workshop
Challenges in managing dependable data systems
ACM SIGMETRICS Performance Evaluation Review - Design, implementation, and performance of storage systems
On the road to recovery: restoring data after disasters
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Zodiac: efficient impact analysis for storage area networks
FAST'05 Proceedings of the 4th conference on USENIX Conference on File and Storage Technologies - Volume 4
Automated planners for storage provisioning and disaster recovery
IBM Journal of Research and Development
Traveling to Rome: a retrospective on the journey
ACM SIGOPS Operating Systems Review
Smoke and mirrors: reflecting files at a geographically remote location without loss of performance
FAST '09 Proccedings of the 7th conference on File and storage technologies
RSCMap: resiliency planning in storage clouds
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
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Designing storage systems to provide businesscontinuity in the face of failures requires the use of variousdata protection techniques, such as backup, remote mirroring,point-in-time copies and vaulting, often in concert.Predicting the dependability provided by such compositionsof techniques is difficult, yet necessary for dependable systemdesign. We present a framework for evaluating the dependabilityof data storage systems, including both individualdata protection techniques and their compositions. Ourmodels estimate storage system recovery time, data loss,normal mode system utilization and operational costs undera variety of failure scenarios. We demonstrate the effectivenessof these modeling techniques through a case studyusing real-world storage system designs and workloads.