Challenges in managing dependable data systems
ACM SIGMETRICS Performance Evaluation Review - Design, implementation, and performance of storage systems
Using utility to provision storage systems
FAST'08 Proceedings of the 6th USENIX Conference on File and Storage Technologies
Automated planners for storage provisioning and disaster recovery
IBM Journal of Research and Development
RSCMap: resiliency planning in storage clouds
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
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The costs of data loss and unavailability can be large, so businesses use many data protection techniques, such as remote mirroring, snapshots and backups, to guard against failures. Choosing an appropriate combination of techniques is difficult because there are numerous approaches for protecting data and allocating resources. Storage system designers typically use ad hoc techniques, often resulting in over-engineered, expensive solutions or under-provisioned, inadequate ones. In contrast, this paper presents a principled, automated approach for designing dependable storage solutions for multiple applications in shared environments. Our contributions include search heuristics for intelligently exploring the large design space and modeling techniques for capturing interactions between applications during recovery. Using realistic storage system requirements, we show that our design tool can produce designs that cost up to 3X less in initial outlays and expected data penalties than the designs produced by an emulated human design process.