  This extended report presents DDS, a novel disaggregated storage architecture
enabled by emerging networking hardware, namely DPUs (Data Processing Units).
DPUs can optimize the latency and CPU consumption of disaggregated storage
servers. However, utilizing DPUs for DBMSs requires careful design of the
network and storage paths and the interface exposed to the DBMS. To fully
benefit from DPUs, DDS heavily uses DMA, zero-copy, and userspace I/O to
minimize overhead when improving throughput. It also introduces an offload
engine that eliminates host CPUs by executing client requests directly on the
DPU. Adopting DDS' API requires minimal DBMS modification. Our experimental
study and production system integration show promising results -- DDS achieves
higher disaggregated storage throughput with an order of magnitude lower
latency, and saves up to tens of CPU cores per storage server.
