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We propose PAIO, the first general-purpose framework that enables systemdesigners to build custom-made Software-Defined Storage (SDS) data planestages. It provides the means to implement storage optimizations adaptable todifferent workflows and user-defined policies, and allows straightforwardintegration with existing applications and I/O layers. PAIO allows stages to beintegrated with modern SDS control planes to ensure holistic control andsystem-wide optimal performance. We demonstrate the performance andapplicability of PAIO with two use cases. The first improves 99th percentilelatency by 4x in industry-standard LSM-based key-value stores. The secondensures dynamic per-application bandwidth guarantees under shared storageenvironments.

PAIO: A Software-Defined Storage Data Plane Framework