Abstract
Summary form only given. Built upon new data organization and access characteristics, MEMS-based storage devices have come under consideration as an alternative to disks for large data-intensive applications. While not already in commercial production, MEMS-based storage devices have outperformed disks in device-level simulations. Processor-embedded distributed disks improved performance of workloads by offloading application-level processing to the storage. To exploit the potential benefits offered by these emerging storage technologies and offloading models, we propose a processor-embedded distributed MEMS-based storage architecture, and evaluate the proposed architecture with representative database and data mining workloads. Our results show that MEMS-based storage improved the overall performance of these workloads over disk-based systems, and transformed the characteristics of several workloads, impacting the design points for future storage architectures.
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