Improving Update-Intensive Workloads on Flash Disks through Exploiting Multi-Chip Parallelism

@article{He2015ImprovingUW,
  title={Improving Update-Intensive Workloads on Flash Disks through Exploiting Multi-Chip Parallelism},
  author={Beixin Julie He and Jeffrey Xu Yu and Amelie Chi Zhou},
  journal={IEEE Transactions on Parallel and Distributed Systems},
  year={2015},
  volume={26},
  pages={152-162}
}
Solid state drives (SSDs), or flash disks have been considered as ideal storage for various data-intensive workloads, because of the low random access latency and the intra-disk multi-chip parallelism. However, due to inherent nature of flash memories, update-intensive workloads cause the flash disk fragmented, and trigger costly internal activities such as cleaning and wear leveling. We use database transaction processing as a motivating update-intensive workload. Our studies based on a flash… CONTINUE READING

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