A Distributed Reconfigurable Active Solid State Drive Platform for Data Intensive Applications
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Abstract The ability to efficiently extract useful information from volumes of data distributed across myriad networks is hindered by the latencies inherent to magnetic storage devices and computer networks. We propose overcoming these limitations by leveraging solid-state drive (SSD) and field-programmable gate array (FPGA) technologies to process large streams of data directly at the storage sites. Our proposed reconfigurable, active, solid-state drive (RASSD) platform consists of distributed nodes that couple SSDs with FPGAs. While SSDs store data, FPGAs implement processing elements that couple soft-core RISC processors with dynamically reconfigurable logic resources. The processors execute data-processing software drivelets, and the logic resources implement hardware for accelerating performance-critical operations. Executing appropriate drivelets and using matching hardware accelerators enables us to efficiently process streams of data stored across SSDs. To manage the configuration of RASSD nodes a...